Second/Tp2_notebook_simo-restart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils import *\n",
    "\n",
    "#%matplotlib widget\n",
    "\n",
    "# libraries for Dimensionality Reduction\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE\n",
    "from sklearn.manifold import Isomap\n",
    "\n",
    "# libraries for features selectiona\n",
    "# ANOVA F-test\n",
    "from sklearn.feature_selection import f_classif\n",
    "from sklearn import datasets\n",
    "\n",
    "# library for standardize features\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# libraries for epsilon parameter\n",
    "from sklearn.neighbors import NearestNeighbors\n",
    "\n",
    "# libraries for Clustering\n",
    "from sklearn.cluster import DBSCAN\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "# libraries for Adjusted Rand Index\n",
    "from sklearn.metrics import adjusted_rand_score\n",
    "from sklearn.metrics import silhouette_score\n",
    "\n",
    "# libraries for general utilities\n",
    "import numpy as np \n",
    "from matplotlib import pyplot as plt\n",
    "import utilities as uti\n",
    "\n",
    "# global variables from work specifications\n",
    "SEED = 42\n",
    "set_seed(SEED)\n",
    "NUMBER_FEATURES = 6\n",
    "NEIGHBOURS = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "##\n",
    "## DATASET LOADING\n",
    "##\n",
    "\n",
    "# create the loader class and load dataset and labels\n",
    "loader = Loader().load()\n",
    "\n",
    "# get dataset, labels, and dataset splitted by classes\n",
    "dataset = loader.getDataset()\n",
    "ids, labels = loader.getLabels()\n",
    "class_split_dataset = loader.getClassSplitDataset()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/emanuelevivoli/miniconda3/envs/aa/lib/python3.7/site-packages/sklearn/utils/extmath.py:516: RuntimeWarning: invalid value encountered in multiply\n",
      "  v *= signs[:, np.newaxis]\n"
     ]
    }
   ],
   "source": [
    "##\n",
    "## FEATURES CREATION\n",
    "##\n",
    "\n",
    "# extract 6 features wirh PCA\n",
    "pca = PCA(n_components=NUMBER_FEATURES)\n",
    "pca_dataset_embedded = pca.fit_transform(dataset)\n",
    "\n",
    "# extract 6 features wirh t-sne\n",
    "tsne = TSNE(n_components=NUMBER_FEATURES, method='exact')\n",
    "tsne_dataset_embedded = tsne.fit_transform(dataset)\n",
    "\n",
    "# extract 6 features wirh isomap\n",
    "isomap = Isomap(n_components=NUMBER_FEATURES)\n",
    "isomap_dataset_embedded = isomap.fit_transform(dataset)\n",
    "\n",
    "# features concatenate (6,6,6) = 18 features\n",
    "features = np.concatenate((pca_dataset_embedded,tsne_dataset_embedded, isomap_dataset_embedded), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# standardization\n",
    "scaler = StandardScaler()\n",
    "features_std = scaler.fit_transform(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(563, 18)\n",
      "(563,)\n"
     ]
    }
   ],
   "source": [
    "print(features_std.shape)\n",
    "print(labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "feat = features_std[labels!=0]\n",
    "lbs = labels[labels!=0]\n",
    "\n",
    "fig = plt.figure(1, figsize=(8, 6))\n",
    "ax = Axes3D(fig, elev=-150, azim=110)\n",
    "ax.scatter(feat[:, 13], feat[:, 2], feat[:, 1], c=lbs,\n",
    "           cmap=plt.cm.Set1, edgecolor='k', s=40)\n",
    "ax.set_title(\"First three Features Standardized\")\n",
    "ax.set_xlabel(\"1st feature (1 element of isomap)\")\n",
    "ax.w_xaxis.set_ticklabels([])\n",
    "ax.set_ylabel(\"2nd feature (2d eigen PCA)\")\n",
    "ax.w_yaxis.set_ticklabels([])\n",
    "ax.set_zlabel(\"3rd feature (1d eigen PCA)\")\n",
    "ax.w_zaxis.set_ticklabels([])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(2, figsize=(8, 6))\n",
    "ax = Axes3D(fig, elev=-150, azim=110)\n",
    "ax.scatter(features_std[:, 13], features_std[:, 2], features_std[:, 1], c=labels,\n",
    "           cmap=plt.cm.Set1, edgecolor='k', s=40)\n",
    "ax.set_title(\"First three Features Standardized (also non labeled features)\")\n",
    "ax.set_xlabel(\"1st feature (1 element of isomap)\")\n",
    "ax.w_xaxis.set_ticklabels([])\n",
    "ax.set_ylabel(\"2nd feature (2d eigen PCA)\")\n",
    "ax.w_yaxis.set_ticklabels([])\n",
    "ax.set_zlabel(\"3rd feature (1d eigen PCA)\")\n",
    "ax.w_zaxis.set_ticklabels([])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification accuracy without selecting features: 0.762\n",
      "Classification accuracy after selection (Normalized): 0.810\n",
      "Classification accuracy after selection (Standardize): 0.905\n",
      "Classification accuracy after selection (MinMax norm): 0.857\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# #############################################################################\n",
    "# Univariate feature selection with F-test for feature scoring\n",
    "# We use the default selection function to select the four\n",
    "# most significant features\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import MinMaxScaler, Normalizer, StandardScaler\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "fig = plt.figure(3, figsize=(8, 6))\n",
    "\n",
    "feat = features_std[labels!=0]\n",
    "lbs = labels[labels!=0]\n",
    "\n",
    "k_selection = 5\n",
    "\n",
    "# Some noisy data not correlated\n",
    "#E = np.random.RandomState(42).uniform(0, 0.1, size=(feat.shape[0], 20))\n",
    "\n",
    "# Add the noisy data to the informative features\n",
    "#feat = np.hstack((feat, E))\n",
    "\n",
    "# Split dataset to select feature and evaluate the classifier\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "        feat, lbs, stratify=lbs, random_state=0\n",
    ")\n",
    "\n",
    "selector = SelectKBest(f_classif, k=k_selection)\n",
    "selector.fit(X_train, y_train)\n",
    "scores = -np.log10(selector.pvalues_)\n",
    "scores /= scores.sum()\n",
    "X_indices = np.arange(feat.shape[-1])\n",
    "plt.bar(X_indices - .65, scores, width=.2,\n",
    "        label=r'Univariate score ($-Log(p_{value})$)', color='darkorange')#,edgecolor='black')\n",
    "\n",
    "# #############################################################################\n",
    "# Compare to the weights of an SVM\n",
    "clf = make_pipeline(MinMaxScaler(), LinearSVC())\n",
    "clf.fit(X_train, y_train)\n",
    "print('Classification accuracy without selecting features: {:.3f}'\n",
    "      .format(clf.score(X_test, y_test)))\n",
    "\n",
    "svm_weights = np.abs(clf[-1].coef_).sum(axis=0)\n",
    "svm_weights /= svm_weights.sum()\n",
    "\n",
    "plt.bar(X_indices - .45, svm_weights, width=.2, label='SVM weight',\n",
    "        color='navy')#,edgecolor='black')\n",
    "\n",
    "# #############################################################################\n",
    "# SVM on Normalized input\n",
    "\n",
    "clf_selected = make_pipeline(\n",
    "        SelectKBest(f_classif, k=k_selection), #MinMaxScaler(), \n",
    "        Normalizer(),\n",
    "    LinearSVC()\n",
    ")\n",
    "clf_selected.fit(X_train, y_train)\n",
    "print('Classification accuracy after selection (Normalized): {:.3f}'\n",
    "      .format(clf_selected.score(X_test, y_test)))\n",
    "\n",
    "svm_weights_selected = np.abs(clf_selected[-1].coef_).sum(axis=0)\n",
    "svm_weights_selected /= svm_weights_selected.sum()\n",
    "\n",
    "plt.bar(X_indices[selector.get_support()] - .25, svm_weights_selected,\n",
    "        width=.2, label='SVM selection (Normalized)', color='c')#,edgecolor='black')\n",
    "\n",
    "\n",
    "# #############################################################################\n",
    "# SVM on Standardize input\n",
    "\n",
    "clf_selected = make_pipeline(\n",
    "        SelectKBest(f_classif, k=k_selection), #MinMaxScaler(), \n",
    "        StandardScaler(),\n",
    "    LinearSVC()\n",
    ")\n",
    "clf_selected.fit(X_train, y_train)\n",
    "print('Classification accuracy after selection (Standardize): {:.3f}'\n",
    "      .format(clf_selected.score(X_test, y_test)))\n",
    "\n",
    "svm_weights_selected = np.abs(clf_selected[-1].coef_).sum(axis=0)\n",
    "svm_weights_selected /= svm_weights_selected.sum()\n",
    "\n",
    "plt.bar(X_indices[selector.get_support()] - .05, svm_weights_selected,\n",
    "        width=.2, label='SVM selection (Standardize)', color='pink')#,edgecolor='black')\n",
    "\n",
    "\n",
    "# #############################################################################\n",
    "# SVM on MinMax Normalized input\n",
    "\n",
    "clf_selected = make_pipeline(\n",
    "        SelectKBest(f_classif, k=k_selection), \n",
    "    MinMaxScaler(),\n",
    "    LinearSVC()\n",
    ")\n",
    "clf_selected.fit(X_train, y_train)\n",
    "print('Classification accuracy after selection (MinMax norm): {:.3f}'\n",
    "      .format(clf_selected.score(X_test, y_test)))\n",
    "\n",
    "svm_weights_selected = np.abs(clf_selected[-1].coef_).sum(axis=0)\n",
    "svm_weights_selected /= svm_weights_selected.sum()\n",
    "\n",
    "plt.bar(X_indices[selector.get_support()] + .15, svm_weights_selected,\n",
    "        width=.2, label='SVM selection (MinMax norm)', color='red')#,edgecolor='black')\n",
    "\n",
    "plt.title(\"Comparing feature selection\")\n",
    "plt.xlabel('Feature number')\n",
    "plt.yticks(())\n",
    "plt.axis('tight')\n",
    "plt.legend(loc='upper right')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'k': 5,\n",
       " 'score_func': <function sklearn.feature_selection.univariate_selection.f_classif(X, y)>}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selector.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 324 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "from pandas import DataFrame\n",
    "\n",
    "fig = plt.figure(4, figsize=(8, 6))\n",
    "scatter_matrix(DataFrame(features_std), alpha=0.5, diagonal='kde')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "13  2  1 12  0 16 15 14 10  6  4 11  7  5 17  8  3  9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "            background-color:  #3b4cc0;\n",
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       "        }</style><table id=\"T_46c8a22a_1929_11ea_8476_acde48001122\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >0</th>        <th class=\"col_heading level0 col1\" >1</th>        <th class=\"col_heading level0 col2\" >2</th>        <th class=\"col_heading level0 col3\" >3</th>        <th class=\"col_heading level0 col4\" >4</th>        <th class=\"col_heading level0 col5\" >5</th>        <th class=\"col_heading level0 col6\" >6</th>        <th class=\"col_heading level0 col7\" >7</th>        <th class=\"col_heading level0 col8\" >8</th>        <th class=\"col_heading level0 col9\" >9</th>        <th class=\"col_heading level0 col10\" >10</th>        <th class=\"col_heading level0 col11\" >11</th>        <th class=\"col_heading level0 col12\" >12</th>        <th class=\"col_heading level0 col13\" >13</th>        <th class=\"col_heading level0 col14\" >14</th>        <th class=\"col_heading level0 col15\" >15</th>        <th class=\"col_heading level0 col16\" >16</th>        <th class=\"col_heading level0 col17\" >17</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col0\" class=\"data row0 col0\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col1\" class=\"data row0 col1\" >6.9e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col2\" class=\"data row0 col2\" >2.15e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col3\" class=\"data row0 col3\" >3.8e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col4\" class=\"data row0 col4\" >7.67e-18</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col5\" class=\"data row0 col5\" >7.69e-18</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col6\" class=\"data row0 col6\" >0.165</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col7\" class=\"data row0 col7\" >0.218</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col8\" class=\"data row0 col8\" >0.416</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col9\" class=\"data row0 col9\" >0.0331</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col10\" class=\"data row0 col10\" >0.333</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col11\" class=\"data row0 col11\" >0.26</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col12\" class=\"data row0 col12\" >0.943</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col13\" class=\"data row0 col13\" >0.145</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col14\" class=\"data row0 col14\" >0.139</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col15\" class=\"data row0 col15\" >0.0152</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col16\" class=\"data row0 col16\" >0.0518</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row0_col17\" class=\"data row0 col17\" >0.0286</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col0\" class=\"data row1 col0\" >6.9e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col1\" class=\"data row1 col1\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col2\" class=\"data row1 col2\" >2.47e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col3\" class=\"data row1 col3\" >2.3e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col4\" class=\"data row1 col4\" >5.12e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col5\" class=\"data row1 col5\" >4.49e-18</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col6\" class=\"data row1 col6\" >0.252</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col7\" class=\"data row1 col7\" >0.157</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col8\" class=\"data row1 col8\" >0.0647</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col9\" class=\"data row1 col9\" >0.0853</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col10\" class=\"data row1 col10\" >0.123</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col11\" class=\"data row1 col11\" >0.0296</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col12\" class=\"data row1 col12\" >0.207</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col13\" class=\"data row1 col13\" >0.61</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col14\" class=\"data row1 col14\" >0.573</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col15\" class=\"data row1 col15\" >0.23</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col16\" class=\"data row1 col16\" >0.0886</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row1_col17\" class=\"data row1 col17\" >0.0434</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col0\" class=\"data row2 col0\" >2.15e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col1\" class=\"data row2 col1\" >2.47e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col2\" class=\"data row2 col2\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col3\" class=\"data row2 col3\" >3.94e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col4\" class=\"data row2 col4\" >1.09e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col5\" class=\"data row2 col5\" >4.55e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col6\" class=\"data row2 col6\" >0.179</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col7\" class=\"data row2 col7\" >0.0848</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col8\" class=\"data row2 col8\" >0.0603</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col9\" class=\"data row2 col9\" >0.0292</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col10\" class=\"data row2 col10\" >0.119</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col11\" class=\"data row2 col11\" >0.21</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col12\" class=\"data row2 col12\" >0.0185</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col13\" class=\"data row2 col13\" >0.658</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col14\" class=\"data row2 col14\" >0.578</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col15\" class=\"data row2 col15\" >0.117</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col16\" class=\"data row2 col16\" >0.182</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row2_col17\" class=\"data row2 col17\" >0.0338</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col0\" class=\"data row3 col0\" >3.8e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col1\" class=\"data row3 col1\" >2.3e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col2\" class=\"data row3 col2\" >3.94e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col3\" class=\"data row3 col3\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col4\" class=\"data row3 col4\" >4.09e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col5\" class=\"data row3 col5\" >3.34e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col6\" class=\"data row3 col6\" >0.116</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col7\" class=\"data row3 col7\" >0.0498</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col8\" class=\"data row3 col8\" >0.0871</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col9\" class=\"data row3 col9\" >0.0837</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col10\" class=\"data row3 col10\" >0.00982</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col11\" class=\"data row3 col11\" >0.0655</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col12\" class=\"data row3 col12\" >0.00618</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col13\" class=\"data row3 col13\" >0.0926</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col14\" class=\"data row3 col14\" >0.173</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col15\" class=\"data row3 col15\" >0.728</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col16\" class=\"data row3 col16\" >0.351</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row3_col17\" class=\"data row3 col17\" >0.139</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col0\" class=\"data row4 col0\" >7.67e-18</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col1\" class=\"data row4 col1\" >5.12e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col2\" class=\"data row4 col2\" >1.09e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col3\" class=\"data row4 col3\" >4.09e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col4\" class=\"data row4 col4\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col5\" class=\"data row4 col5\" >2.51e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col6\" class=\"data row4 col6\" >0.00432</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col7\" class=\"data row4 col7\" >0.0337</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col8\" class=\"data row4 col8\" >0.0894</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col9\" class=\"data row4 col9\" >0.0148</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col10\" class=\"data row4 col10\" >0.0282</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col11\" class=\"data row4 col11\" >0.0574</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col12\" class=\"data row4 col12\" >0.0571</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col13\" class=\"data row4 col13\" >0.0288</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col14\" class=\"data row4 col14\" >0.287</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col15\" class=\"data row4 col15\" >0.29</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col16\" class=\"data row4 col16\" >0.705</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row4_col17\" class=\"data row4 col17\" >0.155</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col0\" class=\"data row5 col0\" >7.69e-18</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col1\" class=\"data row5 col1\" >4.49e-18</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col2\" class=\"data row5 col2\" >4.55e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col3\" class=\"data row5 col3\" >3.34e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col4\" class=\"data row5 col4\" >2.51e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col5\" class=\"data row5 col5\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col6\" class=\"data row5 col6\" >0.0776</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col7\" class=\"data row5 col7\" >0.0532</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col8\" class=\"data row5 col8\" >0.0284</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col9\" class=\"data row5 col9\" >0.00997</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col10\" class=\"data row5 col10\" >0.032</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col11\" class=\"data row5 col11\" >0.155</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col12\" class=\"data row5 col12\" >0.0178</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col13\" class=\"data row5 col13\" >0.0116</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col14\" class=\"data row5 col14\" >0.0117</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col15\" class=\"data row5 col15\" >0.287</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col16\" class=\"data row5 col16\" >0.0282</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row5_col17\" class=\"data row5 col17\" >0.278</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col0\" class=\"data row6 col0\" >0.165</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col1\" class=\"data row6 col1\" >0.252</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col2\" class=\"data row6 col2\" >0.179</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col3\" class=\"data row6 col3\" >0.116</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col4\" class=\"data row6 col4\" >0.00432</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col5\" class=\"data row6 col5\" >0.0776</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col6\" class=\"data row6 col6\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col7\" class=\"data row6 col7\" >0.168</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col8\" class=\"data row6 col8\" >0.267</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col9\" class=\"data row6 col9\" >0.00294</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col10\" class=\"data row6 col10\" >0.261</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col11\" class=\"data row6 col11\" >0.0275</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col12\" class=\"data row6 col12\" >0.192</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col13\" class=\"data row6 col13\" >0.272</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col14\" class=\"data row6 col14\" >0.0638</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col15\" class=\"data row6 col15\" >0.0177</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col16\" class=\"data row6 col16\" >0.0238</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row6_col17\" class=\"data row6 col17\" >0.0287</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col0\" class=\"data row7 col0\" >0.218</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col1\" class=\"data row7 col1\" >0.157</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col2\" class=\"data row7 col2\" >0.0848</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col3\" class=\"data row7 col3\" >0.0498</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col4\" class=\"data row7 col4\" >0.0337</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col5\" class=\"data row7 col5\" >0.0532</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col6\" class=\"data row7 col6\" >0.168</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col7\" class=\"data row7 col7\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col8\" class=\"data row7 col8\" >0.02</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col9\" class=\"data row7 col9\" >0.281</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col10\" class=\"data row7 col10\" >0.0931</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col11\" class=\"data row7 col11\" >0.211</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col12\" class=\"data row7 col12\" >0.244</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col13\" class=\"data row7 col13\" >0.021</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col14\" class=\"data row7 col14\" >0.128</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col15\" class=\"data row7 col15\" >0.0218</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col16\" class=\"data row7 col16\" >0.042</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row7_col17\" class=\"data row7 col17\" >0.0866</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col0\" class=\"data row8 col0\" >0.416</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col1\" class=\"data row8 col1\" >0.0647</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col2\" class=\"data row8 col2\" >0.0603</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col3\" class=\"data row8 col3\" >0.0871</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col4\" class=\"data row8 col4\" >0.0894</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col5\" class=\"data row8 col5\" >0.0284</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col6\" class=\"data row8 col6\" >0.267</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col7\" class=\"data row8 col7\" >0.02</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col8\" class=\"data row8 col8\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col9\" class=\"data row8 col9\" >0.145</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col10\" class=\"data row8 col10\" >0.138</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col11\" class=\"data row8 col11\" >0.178</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col12\" class=\"data row8 col12\" >0.447</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col13\" class=\"data row8 col13\" >0.00592</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col14\" class=\"data row8 col14\" >0.073</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col15\" class=\"data row8 col15\" >0.0144</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col16\" class=\"data row8 col16\" >0.148</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row8_col17\" class=\"data row8 col17\" >0.0165</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col0\" class=\"data row9 col0\" >0.0331</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col1\" class=\"data row9 col1\" >0.0853</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col2\" class=\"data row9 col2\" >0.0292</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col3\" class=\"data row9 col3\" >0.0837</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col4\" class=\"data row9 col4\" >0.0148</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col5\" class=\"data row9 col5\" >0.00997</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col6\" class=\"data row9 col6\" >0.00294</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col7\" class=\"data row9 col7\" >0.281</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col8\" class=\"data row9 col8\" >0.145</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col9\" class=\"data row9 col9\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col10\" class=\"data row9 col10\" >0.118</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col11\" class=\"data row9 col11\" >0.0691</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col12\" class=\"data row9 col12\" >0.0233</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col13\" class=\"data row9 col13\" >0.126</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col14\" class=\"data row9 col14\" >0.0612</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col15\" class=\"data row9 col15\" >0.0116</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col16\" class=\"data row9 col16\" >0.0389</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row9_col17\" class=\"data row9 col17\" >0.0571</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col0\" class=\"data row10 col0\" >0.333</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col1\" class=\"data row10 col1\" >0.123</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col2\" class=\"data row10 col2\" >0.119</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col3\" class=\"data row10 col3\" >0.00982</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col4\" class=\"data row10 col4\" >0.0282</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col5\" class=\"data row10 col5\" >0.032</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col6\" class=\"data row10 col6\" >0.261</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col7\" class=\"data row10 col7\" >0.0931</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col8\" class=\"data row10 col8\" >0.138</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col9\" class=\"data row10 col9\" >0.118</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col10\" class=\"data row10 col10\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col11\" class=\"data row10 col11\" >0.245</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col12\" class=\"data row10 col12\" >0.283</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col13\" class=\"data row10 col13\" >0.239</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col14\" class=\"data row10 col14\" >0.0145</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col15\" class=\"data row10 col15\" >0.0229</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col16\" class=\"data row10 col16\" >0.0319</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row10_col17\" class=\"data row10 col17\" >0.0365</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col0\" class=\"data row11 col0\" >0.26</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col1\" class=\"data row11 col1\" >0.0296</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col2\" class=\"data row11 col2\" >0.21</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col3\" class=\"data row11 col3\" >0.0655</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col4\" class=\"data row11 col4\" >0.0574</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col5\" class=\"data row11 col5\" >0.155</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col6\" class=\"data row11 col6\" >0.0275</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col7\" class=\"data row11 col7\" >0.211</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col8\" class=\"data row11 col8\" >0.178</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col9\" class=\"data row11 col9\" >0.0691</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col10\" class=\"data row11 col10\" >0.245</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col11\" class=\"data row11 col11\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col12\" class=\"data row11 col12\" >0.258</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col13\" class=\"data row11 col13\" >0.156</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col14\" class=\"data row11 col14\" >0.184</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col15\" class=\"data row11 col15\" >0.114</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col16\" class=\"data row11 col16\" >0.0816</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row11_col17\" class=\"data row11 col17\" >0.0401</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col0\" class=\"data row12 col0\" >0.943</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col1\" class=\"data row12 col1\" >0.207</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col2\" class=\"data row12 col2\" >0.0185</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col3\" class=\"data row12 col3\" >0.00618</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col4\" class=\"data row12 col4\" >0.0571</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col5\" class=\"data row12 col5\" >0.0178</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col6\" class=\"data row12 col6\" >0.192</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col7\" class=\"data row12 col7\" >0.244</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col8\" class=\"data row12 col8\" >0.447</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col9\" class=\"data row12 col9\" >0.0233</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col10\" class=\"data row12 col10\" >0.283</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col11\" class=\"data row12 col11\" >0.258</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col12\" class=\"data row12 col12\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col13\" class=\"data row12 col13\" >8.93e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col14\" class=\"data row12 col14\" >1.34e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col15\" class=\"data row12 col15\" >1.12e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col16\" class=\"data row12 col16\" >1.43e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row12_col17\" class=\"data row12 col17\" >5.43e-17</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col0\" class=\"data row13 col0\" >0.145</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col1\" class=\"data row13 col1\" >0.61</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col2\" class=\"data row13 col2\" >0.658</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col3\" class=\"data row13 col3\" >0.0926</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col4\" class=\"data row13 col4\" >0.0288</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col5\" class=\"data row13 col5\" >0.0116</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col6\" class=\"data row13 col6\" >0.272</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col7\" class=\"data row13 col7\" >0.021</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col8\" class=\"data row13 col8\" >0.00592</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col9\" class=\"data row13 col9\" >0.126</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col10\" class=\"data row13 col10\" >0.239</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col11\" class=\"data row13 col11\" >0.156</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col12\" class=\"data row13 col12\" >8.93e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col13\" class=\"data row13 col13\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col14\" class=\"data row13 col14\" >3.29e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col15\" class=\"data row13 col15\" >1.95e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col16\" class=\"data row13 col16\" >1.88e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row13_col17\" class=\"data row13 col17\" >2.18e-16</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col0\" class=\"data row14 col0\" >0.139</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col1\" class=\"data row14 col1\" >0.573</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col2\" class=\"data row14 col2\" >0.578</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col3\" class=\"data row14 col3\" >0.173</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col4\" class=\"data row14 col4\" >0.287</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col5\" class=\"data row14 col5\" >0.0117</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col6\" class=\"data row14 col6\" >0.0638</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col7\" class=\"data row14 col7\" >0.128</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col8\" class=\"data row14 col8\" >0.073</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col9\" class=\"data row14 col9\" >0.0612</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col10\" class=\"data row14 col10\" >0.0145</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col11\" class=\"data row14 col11\" >0.184</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col12\" class=\"data row14 col12\" >1.34e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col13\" class=\"data row14 col13\" >3.29e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col14\" class=\"data row14 col14\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col15\" class=\"data row14 col15\" >1.81e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col16\" class=\"data row14 col16\" >1.48e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row14_col17\" class=\"data row14 col17\" >1.82e-16</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col0\" class=\"data row15 col0\" >0.0152</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col1\" class=\"data row15 col1\" >0.23</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col2\" class=\"data row15 col2\" >0.117</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col3\" class=\"data row15 col3\" >0.728</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col4\" class=\"data row15 col4\" >0.29</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col5\" class=\"data row15 col5\" >0.287</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col6\" class=\"data row15 col6\" >0.0177</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col7\" class=\"data row15 col7\" >0.0218</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col8\" class=\"data row15 col8\" >0.0144</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col9\" class=\"data row15 col9\" >0.0116</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col10\" class=\"data row15 col10\" >0.0229</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col11\" class=\"data row15 col11\" >0.114</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col12\" class=\"data row15 col12\" >1.12e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col13\" class=\"data row15 col13\" >1.95e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col14\" class=\"data row15 col14\" >1.81e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col15\" class=\"data row15 col15\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col16\" class=\"data row15 col16\" >4.89e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row15_col17\" class=\"data row15 col17\" >1.32e-16</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col0\" class=\"data row16 col0\" >0.0518</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col1\" class=\"data row16 col1\" >0.0886</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col2\" class=\"data row16 col2\" >0.182</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col3\" class=\"data row16 col3\" >0.351</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col4\" class=\"data row16 col4\" >0.705</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col5\" class=\"data row16 col5\" >0.0282</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col6\" class=\"data row16 col6\" >0.0238</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col7\" class=\"data row16 col7\" >0.042</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col8\" class=\"data row16 col8\" >0.148</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col9\" class=\"data row16 col9\" >0.0389</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col10\" class=\"data row16 col10\" >0.0319</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col11\" class=\"data row16 col11\" >0.0816</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col12\" class=\"data row16 col12\" >1.43e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col13\" class=\"data row16 col13\" >1.88e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col14\" class=\"data row16 col14\" >1.48e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col15\" class=\"data row16 col15\" >4.89e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col16\" class=\"data row16 col16\" >1.0</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row16_col17\" class=\"data row16 col17\" >1.69e-16</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_46c8a22a_1929_11ea_8476_acde48001122level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col0\" class=\"data row17 col0\" >0.0286</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col1\" class=\"data row17 col1\" >0.0434</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col2\" class=\"data row17 col2\" >0.0338</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col3\" class=\"data row17 col3\" >0.139</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col4\" class=\"data row17 col4\" >0.155</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col5\" class=\"data row17 col5\" >0.278</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col6\" class=\"data row17 col6\" >0.0287</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col7\" class=\"data row17 col7\" >0.0866</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col8\" class=\"data row17 col8\" >0.0165</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col9\" class=\"data row17 col9\" >0.0571</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col10\" class=\"data row17 col10\" >0.0365</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col11\" class=\"data row17 col11\" >0.0401</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col12\" class=\"data row17 col12\" >5.43e-17</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col13\" class=\"data row17 col13\" >2.18e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col14\" class=\"data row17 col14\" >1.82e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col15\" class=\"data row17 col15\" >1.32e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col16\" class=\"data row17 col16\" >1.69e-16</td>\n",
       "                        <td id=\"T_46c8a22a_1929_11ea_8476_acde48001122row17_col17\" class=\"data row17 col17\" >1.0</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1c1c8a6250>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(5, figsize=(6, 4))\n",
    "corr = abs(DataFrame(features_std).corr())\n",
    "corr.style.background_gradient(cmap='coolwarm').format(\"{:.3}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "(xs, ys) = np.where((corr>0.5)==True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "pairs = [ [x, y] for x,y in zip(xs, ys) if x>y ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "indexes = np.array([int(x) for x in np.union1d(np.ravel(pairs),[])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "pairs = np.array(pairs)[:,::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None],\n",
       " [None, None]]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 100 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(6, figsize=(10, 10))\n",
    "Axes = scatter_matrix(DataFrame(features_std[:,indexes], columns=indexes), alpha=0.5, diagonal='kde')\n",
    "\n",
    "#y ticklabels\n",
    "[plt.setp(item.yaxis.get_majorticklabels(), 'size', 5) for item in Axes.ravel()]\n",
    "#x ticklabels\n",
    "[plt.setp(item.xaxis.get_majorticklabels(), 'size', 5) for item in Axes.ravel()]\n",
    "#y labels\n",
    "[plt.setp(item.yaxis.get_label(), 'size', 13) for item in Axes.ravel()]\n",
    "#x labels\n",
    "[plt.setp(item.xaxis.get_label(), 'size', 13) for item in Axes.ravel()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "##\n",
    "## FEATURES REMOVING\n",
    "##\n",
    "\n",
    "b = np.arange(features_std.shape[1])\n",
    "b = np.setdiff1d(b,np.array(pairs)[:,0])\n",
    "\n",
    "features_sel = features_std[:,b]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 8  7 11 10  9  5  1  6  2  0 12  3  4]\n",
      "[41.318 14.048  6.817  5.72   5.372  5.209  3.523  3.134  1.991  1.899\n",
      "  1.393  0.88   0.346]\n",
      "[0.    0.    0.    0.001 0.001 0.001 0.015 0.025 0.114 0.129 0.244 0.451\n",
      " 0.792]\n"
     ]
    }
   ],
   "source": [
    "##\n",
    "## FEATURES EXTRACTION\n",
    "##\n",
    "\n",
    "# selection with ANOVA F-test\n",
    "f,prob = f_classif(features_sel, labels)\n",
    "indexes = np.arange(len(f))\n",
    "app = [ [i, ele] for i, ele in enumerate(f)]\n",
    "app.sort(key = lambda app: app[1], reverse = True)\n",
    "indexes = np.array([ int(a) for a in np.array(app)[:,0]])\n",
    "print(indexes)\n",
    "f = f[indexes]\n",
    "print(np.round(f, 3))\n",
    "prob = prob[indexes]\n",
    "print(np.round(prob, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "## FEATURES SELECTION\n",
    "##\n",
    "fig = plt.figure(7, figsize=(8, 6))\n",
    "plt.plot(f)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "## FEATURES SELECTION\n",
    "##\n",
    "fig = plt.figure(8, figsize=(8, 6))\n",
    "plt.plot(prob)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.48052877, -0.6657471 , -0.36311477, ..., -1.14747248,\n",
       "         1.24899977, -0.84559932],\n",
       "       [ 1.43996726,  0.52244796, -0.06453202, ...,  0.4572544 ,\n",
       "         0.45993196,  2.45329041],\n",
       "       [-1.73582269,  0.25472284, -0.32503049, ...,  2.30575833,\n",
       "        -1.23963957,  0.00797348],\n",
       "       ...,\n",
       "       [ 0.89170697, -0.93780582, -0.19911131, ..., -0.57636428,\n",
       "        -1.17787362,  0.30222182],\n",
       "       [-0.44695077,  0.40585287,  0.22915403, ...,  1.56683653,\n",
       "        -1.97099448, -1.37918009],\n",
       "       [-0.74566274, -0.62852134, -0.31618122, ..., -0.4014132 ,\n",
       "         0.58642614, -0.43078506]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.20752054,  0.20948816,  1.24899977, ..., -0.84559932,\n",
       "        -0.30597938,  0.66227378],\n",
       "       [-0.08795627, -2.15294093,  0.45993196, ...,  2.45329041,\n",
       "         0.55426779, -0.94415581],\n",
       "       [ 1.99448042,  0.37054711, -1.23963957, ...,  0.00797348,\n",
       "        -0.32353084,  0.28794709],\n",
       "       ...,\n",
       "       [-0.53219574,  0.61181744, -1.17787362, ...,  0.30222182,\n",
       "        -0.08960638,  0.22384314],\n",
       "       [ 1.82333075, -0.363888  , -1.97099448, ..., -1.37918009,\n",
       "        -0.2456566 ,  0.48634829],\n",
       "       [-1.05044797, -0.58407446,  0.58642614, ..., -0.43078506,\n",
       "        -0.09345147, -0.5521922 ]])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_last_sel = features_sel[:,indexes]\n",
    "features_last_sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def findEpsParams(features):\n",
    "    \n",
    "    neigh = NearestNeighbors(n_neighbors=NEIGHBOURS)\n",
    "    nbrs = neigh.fit(features)\n",
    "    distances, indices = nbrs.kneighbors(features)\n",
    "    \n",
    "    print(distances)\n",
    "\n",
    "    distances = np.sort(distances, axis=0)[:,NEIGHBOURS-1]\n",
    "    plt.plot(distances)\n",
    "    plt.axhline(y=1, xmin=0, xmax=250, linestyle='-', c='red')\n",
    "    plt.show()\n",
    "\n",
    "    return 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.         0.24435139 0.26521167 0.2718171  0.33497881]\n",
      " [0.         0.15463006 0.17627953 0.26269613 0.27127495]\n",
      " [0.         0.0634255  0.07411878 0.2176495  0.28094213]\n",
      " ...\n",
      " [0.         0.14828403 0.22710054 0.26576756 0.31264395]\n",
      " [0.         0.20493569 0.20823058 0.22544018 0.2526755 ]\n",
      " [0.         0.18125139 0.2620418  0.2718171  0.29639712]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "##  CLUSTERING\n",
    "##\n",
    "\n",
    "# selecting manually the epsilon params for DBSCAN\n",
    "eps = findEpsParams(features_sel[:,:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#k-means\n",
    "import utilities as uti\n",
    "\n",
    "n_cluster_max = 10\n",
    "n_cluster_min = 4\n",
    "n_feat = 6\n",
    "\n",
    "vlarray=uti.take_valid_labels(labels)\n",
    "featu = features_sel[:,indexes[:n_feat]]\n",
    "val_int, val_ext, k_labels_for_k= uti.kmeans_all_results(featu,n_cluster_min,n_cluster_max,vlarray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "val for  6  features\n",
      "[[ 4.          0.20074594]\n",
      " [ 5.          0.21977451]\n",
      " [ 6.          0.2246123 ]\n",
      " [ 7.          0.22325567]\n",
      " [ 8.          0.23271615]\n",
      " [ 9.          0.2360325 ]\n",
      " [10.          0.22019446]]\n",
      "\n",
      "[[ 4.          0.24390177]\n",
      " [ 5.          0.16783345]\n",
      " [ 6.          0.13108964]\n",
      " [ 7.          0.10078562]\n",
      " [ 8.          0.08492648]\n",
      " [ 9.          0.09881693]\n",
      " [10.          0.08939653]]\n"
     ]
    }
   ],
   "source": [
    "print(\"val for \",n_feat,\" features\")\n",
    "print(np.array(val_int))\n",
    "print()\n",
    "print(np.array(val_ext))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8551zKc65lNjYWD/iiojAv1bk8NTCbdyYEs/PLuzidRw5C1f0as857Zrwt4+2UlpW7nWcgOFPgS8Hks2sk5lFAeOAeZU3MLP+wHNUlHdepeXxZtbQ93sLYASwxTm3Gygws6G+s89vA96ukXckIiFv8fb9/OaNtYzo2oo/Xdtb08WCXFiYMXVUNzL2F/LGyl1exwkY1Ra4c64UuBuYD2wCXnPObTCzh8xsjG+zR4AYYK5vytjJgu8BLDWzNcCnwKPOuXW+dXcC/wTSge1U+t5cROT7Ss87yk9fSiOpVWOeGT+QyHBNF6sPRvVsS5/4Zjy5cBvFpRqFA1gwTZBPSUlxaWlpXscQkQC1/+gJrn0mlcLiUt782QgSWjbyOpLUoE+25DFp2nL+OLYXtw5N8jpOnTCzFc65lKrW6Z+mIlIvFJWU8ZOZaew9UsQ/bktReddDF3SLJSWpBU9/nE5RSZnXcTynAheRoFde7viPuWtYmXWIv93Uj/6JLbyOJLXAzJh6aTf2HCni5aVZXsfxnApcRILeYwu28O7a3fz28nO4vHd7r+NILRrepTXDOrfimU/SKSwu9TqOp1TgIhLUXluezdOLtnPz4ESmnN/Z6zhSB+67tBv7jhYzc3Gm11E8pQIXkaD1Zfo+/t+b6zgvuTUPXXOupouFiJSOLbmgWyzPfrqdgqISr+N4RgUuIkFp294C7pi1gi6xMTw9foCmi4WY+y7txqHCEqZ9meF1FM/ob7yIBJ38ghPcPn05DSLDefH2QTRtEOl1JKljfeKbM6pnW/7x+Q4OF4bmKFwFLiJB5XhxGT+emca+oyd4YWIKcc0beh1JPDJ1VDcKikr5x+c7vI7iCRW4iASN8nLHva+uZm3OIZ4c158+8c29jiQe6tG+KVf2ac+0L3ey/+i3bsFR76nARSRo/PWDzXywYQ8PXNGDy85t53UcCQD3jkzmeEkZz30WeqNwFbiIBIXZSzN57rMd3Do0ick/6OR1HAkQXds0YWy/OGYuziDvSJHXceqUClxEAt6nW/P5/dsbuLB7LA9e3VPTxeQbfnFJMiVljmc+2e51lDqlAheRgLZ5zxHumr2S5DYx/O8tA4jQdDE5RcfWjblhYDwvL80i99Bxr+PUGf2XICIBK+9IET+atpzG0eFMu30QMdERXkeSAHX3xV1xOP53UbrXUeqMClxEAlJhcSmTZ6Rx6HgJL0wcRPtmmi4mpxffohHjBiXy2vJssvYXeh2nTqjARSTglJU7fjlnNRtyD/P3m/vTK66Z15EkCNx9cVfCw4ynPt7mdZQ6oQIXkYDz5/c2sWDjXh68+lwu6dHW6zgSJNo2bcCEoUm8sTKH7flHvY5T61TgIhJQZi7O4IUvdnL7iI5MHN7R6zgSZO68sAvREeE8+VH9H4WrwEUkYCzanMcf5m1gZI82/O7Knl7HkSDUOiaaSSM68s7aXLbsKfA6Tq1SgYtIQNiQe5i7X15Jzw5NeXJcf8LDNNdbvp+fnt+ZmKgInliw1esotUoFLiKe23O4iMnT02jaMJIXJg6isaaLyVlo3iiKH/2gEx9s2MP6XYe9jlNrVOAi4qljJ0r50fTlFBSV8OKkQbRt2sDrSFIPTD6vE80aRvJ4PR6Fq8BFxDNl5Y6fv7KKLXsLeHr8AHq0b+p1JKknmjaIZMr5nfl4cx4rsw56HadWqMBFxDN/fHcjH2/O4w9jzuXC7m28jiP1zKThHWnVOIrHP6yfo3AVuIh4YtqXO5memsFPzuvErUOTvI4j9VDj6AjuvLALX6TvY8mO/V7HqXEqcBGpcws27uWhdzdy2blt+e3lPbyOI/XYhKFJtGkSzeMfbsU553WcGqUCF5E6tS7nML94ZRV94prxt5v6E6bpYlKLGkSGc9dFXVmWcYAv0vd5HadGqcBFpM7kHjrO5BnLadk4in9MTKFhVLjXkSQEjBucQIdmDXisno3CVeAiUicKikr40fTlHC8u48VJg2jTRNPFpG5ER4Tz80uSWZ19iI8353kdp8aowEWk1pWWlXP3y6vYlneUZyYMoHu7Jl5HkhBz/cB4Els24vEFWykvrx+jcBW4iNQq5xwPztvAp1vz+e+xvTgvOdbrSBKCIsPD+OUlyWzIPcL8DXu8jlMjVOAiUqte+GIns5dmcccFXbh5cKLXcSSEje0fR5fYxjzx0VbK6sEoXAUuIrXmg/V7+NN7m7iidzt+dVl3r+NIiAsPM+4Z2Y2te4/y7tpcr+OcNb8K3MxGm9kWM0s3s99UsX6qmW00s7VmttDMknzL+5nZYjPb4Ft3U6XnTDeznWa22vfTr+beloh4bU32Ie55dRV945vz+I39NF1MAsKVvdtzTrsm/O2jbZSWlXsd56xUW+BmFg48DVwO9ARuNrNTb9S7CkhxzvUBXgce9i0vBG5zzp0LjAb+ZmbNKz3vfudcP9/P6rN8LyISIHIOFjJ5RhqtY6L558QUGkRqupgEhrAw495R3di57xhvrtrldZyz4s8IfDCQ7pzb4ZwrBuYA11TewDm3yDlX6Hu4BIj3Ld/qnNvm+z0XyAN0BotIPXbEN13sRGkZ028fROuYaK8jiXzDpT3b0juuGU8u3EZxafCOwv0p8Dggu9LjHN+y05kMvH/qQjMbDEQB2yst/pPv0PoTZlblf+VmNsXM0swsLT8/34+4IuKVkrJy7pq9kh35x3huwkC6ttF0MQk8ZsbUS7uRc/A4c1dkV/+EAOVPgVf1xVWVp++Z2QQgBXjklOXtgZeA251zJ/+581vgHGAQ0BL4dVX7dM4975xLcc6lxMZq8C4SqJxz/Odb6/l82z7+fF1vhndt7XUkkdO6sFssAxKb8/eF6RSVlHkd53vxp8BzgIRKj+OBb52+Z2YjgQeAMc65E5WWNwX+DfzOObfk5HLn3G5X4QQwjYpD9SKeO15cxpfp+9i571i9mGpSV577bAdzlmdz90VduTElofoniHjIzLjv0u7sOVLEK8uyvI7zvUT4sc1yINnMOgG7gHHALZU3MLP+wHPAaOdcXqXlUcCbwEzn3NxTntPeObfbzAwYC6w/q3cicpacc8zfsJc/vruRXYeOAxAdEUaX2Bi6tY0huW0TktvE0K1tExJaNiJcZ1V/5b11u/nL+5u5um8Hpo7q5nUcEb8M79KKoZ1b8vSi7YwblBh01+avtsCdc6VmdjcwHwgHXnTObTCzh4A059w8Kg6ZxwBzK/qYLOfcGOBG4HyglZlN8u1yku+M89lmFkvFIfrVwB01+9ZE/Lc9/yh/mLeBz7fto3vbJjwzfgBHi0rZureArXlHWbbzAG+t/vrAk4r9ayuzDnLvq6sZmNSCR67vo+liEjROjsJveHYxMxdn8NMLungd6YxYMN2ZJSUlxaWlpXkdQ+qRYydK+fvH6bzwxQ4aRIQz9dJu3Do0iYjwb3+7VFBUwra8o6TvPfpVsafvLSD3cNFX20RHhNG1TQzJbSqKvVvbJnRrG0N8i/pZ7NkHChn79JfENIjgjTuH00pnnEsQuu3FZazLOcTnv76YmGh/DkzXHTNb4ZxLqWpdYCUVqSPOOd5du5s//XsTe44Ucf3AeH49+hxim5y+gJo0iGRAYgsGJLb4xvKTxb5tbwHb9h5la95Rlp4yYm8QeXLE3oSuvtF6t7YxJLRoFLQj1sOFJUyatozScseLkwapvCVoTR3VjbFPf8m0L3by80uSvY7jNxW4hJwtewp4cN56luw4QK+4pjw9fgADk1pU/8TT8KfYt+49yra8oyzZsf8bF4+oXOzJbWPo1qbiz0Av9uLScu6cvYKsA4W8NHkIXWJjvI4k8r31S2jOyB5tef7zHdw2rCPNGkV6HckvKnAJGUeKSnjyo21MT80gJjqC/x7bi5sHJ9baoe3TFfuRohLS/Sj2ikPxXxd7t7ZNiG/R0PNid87xwJvrSN2+n8dv7MvQzq08zSNSE6aO6sYVT33OP7/YwX2XBsd1+1XgUu8553hj5S7+5/3N7D92gnGDErn/su60bBzlSZ6m31Hs2/YeJT2voti37i04bbF3a9OErh4V+zOfbGfuihx+eUky1w2Ir5PXFKltPTs05Yre7Xjxi53cPqKTZ///cCZU4FKvbcg9zINvbyAt8yD9Eprz4qQU+sQ3r/6JHmjaIJKBSS2+dTj/ZLFv21vAtryKYk/dvp83TlPsyb7v15Pb1Hyxz1uTyyPzt3Bt/zjuGRk83xWK+OPekd14f/0envt0O7+9oofXcaqlApd66VBhMY99uJXZSzNp0SiKh3/Yh+sHxnt++Pn78KfYKw7Ff7vYG0aGn3JWfMX37XHNz7zY0zIO8B9z1zC4Y0v+8sPe+KaMitQbyW2bcE3fDsxYnMHk8zrRpkkDryN9J00jk3qlvNzxWlo2D8/fwqHCYm4b1pF7R3YLmpNSasLh46d+x15xdvyeI19Pd/uq2H2FfnIe++mKPWPfMa595kuaN4rijTuH0yIIDi+KfB879x1j5OOfctuwJB68+lyv42gamYSG1dmHePDt9azJOcygji34rzFD6Nmhqdex6lyzhlWP2CuK3TfV7eSIPX0/b6z8esTeKKqi2CtPdevQvCE/m7USgGmTBqm8pV7r1LoxPxwQx+wlWUw5vzPtmzX0OtJpaQQuQW//0RM8Mn8Lr6Zl0zommgeu6ME1/TroEK+fqir2rXsL2Hvkq1saEBUexuyfDGFQx5YeJhWpG9kHCrn4sU+4MSWBP13b29MsGoFLvVRW7pi9NJNH52+hsLiMH/+gE7+4JJkmDULncHlNqBixt2Rg0jfLuXKx92jflL4JgXnyn0hNS2jZiJsGJTBnWTZ3XNCFhJaNvI5UJRW4BKW0jAP8/u0NbNx9hOFdWvFfY84lua3uPV2TTlfsIqHg7ouSeS0th6cWbuORG/p6HadKKnAJKnkFRfzl/c28sXIX7Zs14OlbBnBF73Y6XC4iNapdswZMGJLEjMUZ3HlhFzoH4NUG/bkfuIjnSsrK+efnO7j40U95Z00uP7uwCwvvu4Ar+7RXeYtIrbjzwi5EhYfx5MJtXkepkkbgEvBSt+/jD/M2sHXvUS7oFsuDV/cMyH8Ni0j9EtskmonDO/LcZ9u566KudAuwr+k0ApeAtfvwce5+eSW3/GMphcVl/OO2FKbfPkjlLSJ15qfnd6ZxVARPLNjqdZRv0QhcAs6J0jJe/CKDv3+8jbJyxz0jk7njgi40iAz3OpqIhJgWjaP40YiOPPVxOut3HaZXXDOvI31FI3AJKJ9uzefyv33OXz/YzIiurflo6gXcM7KbyltEPDP5vM40bRB4o3CNwCUgZB8o5I/vbuTDjXvp1Lox024fxEXd23gdS0SEZg0jmXJ+Zx79cCursg7S/5Q7CXpFI3DxVFFJGU9+tI2Rj3/K59v2cf9l3fngnvNU3iISUCb5bjH6eACNwjUCF0845/hoUx4PvbuB7APHubJPex64ogcdmgfudYdFJHTFREdwxwWd+fN7m1m28wCDO3l/gSONwKXOZew7xo+mL+cnM9OIjghn9o+H8PQtA1TeIhLQbh3akdgm0Tz64RYC4T4iGoFLnSksLuWZRdt5/rMdREWE8bsrezBxeEciw/XvSBEJfA2jwrnrwi784Z2NfJm+nx8kt/Y0jwpcap1zjvfX7+G/391I7uEiru0fx28vP4c2TRt4HU1E5IyMG5zIc5/t4LEFWxjRtZWnV4LU0EdqVXpeAbe+sIyfzV5J04aRvPbTYTxxUz+Vt4gEpQaR4fz84mRWZR1i0ZY8T7NoBC614uiJUp5auI0Xv9hJo6hw/mvMuYwfkkiEDpeLSJC7ISWe//s0nccXbOWi7m08G4WrwKVGOeeYtyaXP/17E3kFJ7gpJYH7R3endUy019FERGpEZHgYv7ykG/8xdw3zN+xldK92nuRQgUuN2bT7CA/O28CynQfoHdeM524dGDAXPBARqUlj+3XgmUXpPLFgK5f2bEtYWN2PwnU8U87a4eMl/GHeBq76+xds3VvAn6/tzVt3jVB5i0i9FREexi9HJrNlbwHvrtvtTQZPXlXqhfJyx+src/jr+5s5UFjM+CGJ3DeqOy0aR3kdTUSk1l3dpwPPLNrO3xZs5Ype7er8HB+NwOV7WTPV+IkAABoOSURBVJdzmB8+m8qvXl9LUqtGvHP3D/jvsb1V3iISMsLCjHtHJbNj3zHeWp1b56+vEbickYPHinn0wy28vCyLVo2jePSGvlzXP86T739ERLx22bntOLdDU55cuJVr+nWo0wtTaQQufikrd8xemslFj33CnOXZTBrekY//40KuHxiv8haRkGVm3HdpN7IPHGduWk6dvrZfBW5mo81si5mlm9lvqlg/1cw2mtlaM1toZkm+5f3MbLGZbfCtu6nSczqZ2VIz22Zmr5qZjr0GqJVZBxn79Jc88OZ6urdtwr9/8QMevPpcmjaI9DqaiIjnLurehn4Jzfn7x9soKimrs9ettsDNLBx4Grgc6AncbGY9T9lsFZDinOsDvA487FteCNzmnDsXGA38zcya+9b9FXjCOZcMHAQmn+2bkZq17+gJ7p+7huueSSWvoIinbu7PnClDOaddU6+jiYgEDDPjPy7tzu7DRcxZllVnr+vPCHwwkO6c2+GcKwbmANdU3sA5t8g5V+h7uASI9y3f6pzb5vs9F8gDYq3isjUXU1H2ADOAsWf7ZqRmlJaVM+3LnVz06Ce8uWoXP72gMwvvu5AxfTt4et1fEZFANaJrKwZ3asnKrEN19pr+nMQWB2RXepwDDPmO7ScD75+60MwGA1HAdqAVcMg5V1ppn3H+BJbatXTHfh6ct4HNewr4QdfW/GHMuXRtE+N1LBGRgGZmvDhpEDHRdXduuD+vVNWQq8oboZrZBCAFuOCU5e2Bl4CJzrlyq3oYd7p9TgGmACQmJvoRV76PvUeK+J/3NvHW6lzimjfk2QkDuOzcdhpxi4j4qS7LG/wr8BwgodLjeOBbE97MbCTwAHCBc+5EpeVNgX8Dv3POLfEt3gc0N7MI3yi8yn0COOeeB54HSElJ8f4O6vXQ0ROlXPnUFxw5XsLPL+7Kzy7sSsOocK9jiYjId/CnwJcDyWbWCdgFjANuqbyBmfUHngNGO+fyKi2PAt4EZjrn5p5c7pxzZrYIuJ6K79QnAm+f5XuR7+mNlTnsO3qCOVOGMrRzK6/jiIiIH6o9ic03Qr4bmA9sAl5zzm0ws4fMbIxvs0eAGGCuma02s3m+5TcC5wOTfMtXm1k/37pfA1PNLJ2K78RfqLm3Jf5yzjEjNYM+8c0Y0qml13FERMRPfh2wd869B7x3yrLfV/p95GmeNwuYdZp1O6g4w1089EX6PrbnH+PxG/vq+24RkSCiK7GFuOlfZtA6Joor+7T3OoqIiJwBFXgIy9pfyMdb8rhlcCLRETppTUQkmKjAQ9jMxRmEmzF+aJLXUURE5AypwEPUsROlvJqWzehe7WjbtIHXcURE5AypwEPUm6t2UVBUyu0jOnodRUREvgcVeAg6OXWsV1xTBiS28DqOiIh8DyrwEJS6fT/b8o4yaXgnTR0TEQlSKvAQND01g5aNo7hKU8dERIKWCjzEZB8o5KNNe7l5cAINIjV1TEQkWKnAQ8xLSzIJM2OCpo6JiAQ1FXgIKSwuZc6yLEaf2472zRp6HUdERM6CCjyEvLUqlyNFpUzS1DERkaCnAg8RJ6eO9WzflJQkTR0TEQl2KvAQsXjHfrbsLWDS8I6aOiYiUg+owEPEjNQMWjSKZEy/Dl5HERGRGqACDwE5BwtZsHEv4wYnauqYiEg9oQIPAS8tyQTQ1DERkXpEBV7PHS8u49Xl2Vx2bjvimmvqmIhIfaECr+feXr2LQ4UlTBze0esoIiJSg1Tg9ZhzjumpGZzTrglDOrX0Oo6IiNQgFXg9tmznATbv0dQxEZH6SAVej01PzaBZw0iu6RfndRQREalhKvB6ateh43y4cS/jBifQMEpTx0RE6hsVeD01a0kmzjlu1dQxEZF6SQVeDxWVlDFnWRajerYlvkUjr+OIiEgtUIHXQ/PW5HJQU8dEROo1FXg945xj+pcZdG/bhGGdW3kdR0REaokKvJ5JyzzIxt1HmKipYyIi9ZoKvJ6ZnppB0wYRjO2vu46JiNRnKvB6ZPfh43ywfg83DUqgUVSE13FERKQWqcDrkdlLsih3jtuGdfQ6ioiI1DIVeD1RVFLGy8uyuOSctiS01NQxEZH6TgVeT7y7djcHjhVz+4iOXkcREZE64FeBm9loM9tiZulm9psq1k81s41mttbMFppZUqV1H5jZITN795TnTDeznWa22vfT7+zfTmhyzjEjNYPkNjEM76KpYyIioaDaAjezcOBp4HKgJ3CzmfU8ZbNVQIpzrg/wOvBwpXWPALeeZvf3O+f6+X5Wn3F6AWBl1kHW7TrMbZo6JiISMvwZgQ8G0p1zO5xzxcAc4JrKGzjnFjnnCn0PlwDxldYtBApqKK9UYXpqJk0aRHBdf911TEQkVPhT4HFAdqXHOb5lpzMZeN/P1/+T77D7E2YWXdUGZjbFzNLMLC0/P9/P3YaOvUeKeH/dbm5MSaBxtKaOiYiECn8KvKpjsq7KDc0mAClUHDavzm+Bc4BBQEvg11Vt5Jx73jmX4pxLiY2N9WO3oWX2kkzKnOO2YbrrmIhIKPGnwHOAhEqP44HcUzcys5HAA8AY59yJ6nbqnNvtKpwAplFxqF7OwInSiqljF3dvQ1Krxl7HERGROuRPgS8Hks2sk5lFAeOAeZU3MLP+wHNUlHeePy9sZu19fxowFlh/JsEF/r12N/uOFuuuYyIiIajaL02dc6VmdjcwHwgHXnTObTCzh4A059w8Kg6ZxwBzfWdBZznnxgCY2edUHCqPMbMcYLJzbj4w28xiqThEvxq4o+bfXv02IzWDLrGNOS+5tddRRESkjvl11pNz7j3gvVOW/b7S7yO/47nnnWb5xX5mlCqsyjrImpzDPHTNuZo6JiISgnQltiA1PTWDmOgIrhsQX/3GIiJS76jAg1DekSLeW7ebG1LiidHUMRGRkKQCD0Kzl2ZRUqa7jomIhDIVeJApLi3n5WVZXNQ9lk6tNXVMRCRUqcCDzPvrd5NfcEJTx0REQpwKPMhM+zKDTq0bc36yrkonIhLKVOBBZE32IVZnH2LisCTCwjR1TEQklKnAg8iM1AwaR4Xzw4GaOiYiEupU4EEiv+AE76zN5YaUBJo0iPQ6joiIeEwFHiReWXZy6pjuOiYiIirwoFBcWs6sJZmc3y2WzrExXscREZEAoAIPAh9s2ENewQlu19QxERHxUYEHgRmpGXRs1YgLumnqmIiIVFCBB7h1OYdZkXmQ24Z11NQxERH5igo8wE1PzaBRVDjXp2jqmIiIfE0FHsD2HT3BO2ty+eGAeJpq6piIiFSiAg9gc5ZlUVxWzsThmjomIiLfpAIPUCVl5cxaksV5ya3p2qaJ13FERCTAqMAD1PwNe9hzpIiJuue3iIhUQQUeoGakZpDYshEXndPG6ygiIhKAVOABaP2uwyzPOMhtw5II19QxERGpggo8AM1IzaBhZDg3pCR4HUVERAKUCjzAHDhWzNtrcrluQBzNGmrqmIiIVE0FHmBeWZZFcWk5E3XdcxER+Q4q8ABSWlbO7CWZjOjaim5tNXVMREROTwUeQBZs3EvuYU0dExGR6qnAA8i01AziWzTkkh5tvY4iIiIBTgUeIDbtPsKynQc0dUxERPyiAg8QM1IzaBAZxo2aOiYiIn5QgQeAg8eKeXPVLq7tH0/zRlFexxERkSCgAg8Ar6Zlc6JUdx0TERH/qcA9VlpWzkuLMxnauSXntGvqdRwREQkSKnCPfbQpj12HjjNpeCevo4iISBDxq8DNbLSZbTGzdDP7TRXrp5rZRjNba2YLzSyp0roPzOyQmb17ynM6mdlSM9tmZq+aWUh++TsjNYO45g0Z2UN3HRMREf9VW+BmFg48DVwO9ARuNrOep2y2CkhxzvUBXgcerrTuEeDWKnb9V+AJ51wycBCYfObxg9vmPUdYvGM/tw5LIiJcB0NERMR//rTGYCDdObfDOVcMzAGuqbyBc26Rc67Q93AJEF9p3UKgoPL2ZmbAxVSUPcAMYOz3egdBbEZqJtERYdykqWMiInKG/CnwOCC70uMc37LTmQy8X80+WwGHnHOl1e3TzKaYWZqZpeXn5/sRNzgcKizmzVU5jO0XR4vGIfntgYiInAV/Cryqy4K5Kjc0mwCkUHHYvEb26Zx73jmX4pxLiY2NrWa3weO1tGyKSnTXMRER+X4i/NgmB6h8jDceyD11IzMbCTwAXOCcO1HNPvcBzc0swjcKr3Kf9VVZuWPm4kwGd2pJzw6aOiYiImfOnxH4ciDZd9Z4FDAOmFd5AzPrDzwHjHHO5VW3Q+ecAxYB1/sWTQTePpPgwWzhpr3kHDzO7Rp9i4jI91RtgftGyHcD84FNwGvOuQ1m9pCZjfFt9ggQA8w1s9Vm9lXBm9nnwFzgEjPLMbPLfKt+DUw1s3QqvhN/ocbeVYCbsTiDDs0aMKqn7jomIiLfjz+H0HHOvQe8d8qy31f6feR3PPe80yzfQcUZ7iFl294Cvkzfz/2XddfUMRER+d7UIHVsemoGURFh3Dw40esoIiISxFTgdejw8RLeWLmLa/p2oKWmjomIyFlQgdehuWnZHC8p09QxERE5ayrwOnJy6tigji3oFdfM6zgiIhLkVOB15JMteWQdKNToW0REaoQKvI5MT82gXdMGXHZuO6+jiIhIPaACrwPpeUf5fNs+JgxNJFJTx0REpAaoTerAzMUZRIWHMU5Tx0REpIaowGvZkaISXl+Rw9V9O9A6JtrrOCIiUk+owGvZ62k5FBaXMUknr4mISA1Sgdei8nLHzMUZDExqQe94TR0TEZGaowKvRZ9uzSdjv6aOiYhIzVOB16LpqRm0aRLN5b00dUxERGqWCryWbM8/yqdb85kwNElTx0REpMapWWrJS4sziQrXXcdERKR2qMBrQUFRCXPTsrmqT3tim2jqmIiI1DwVeC3414ocjhXrrmMiIlJ7VOA1rNx317F+Cc3pm9Dc6zgiIlJPqcBr2Gfb8tmx7xi3j+jodRQREanHVOA1bEZqBrFNorm8V3uvo4iISD2mAq9BO/cdY9GWfG4ZnEhUhD5aERGpPWqZGjRzcQaR4cb4IZo6JiIitUsFXkOOnijl9bQcrujdnjZNG3gdR0RE6jkVeA15Y2UOBSdKddcxERGpEyrwGuCcY0ZqBn3jm9E/sYXXcUREJASowGvAF+n72J5/TBduERGROqMCrwHTv8ygdUwUV/bR1DEREakbKvCzlLW/kI+35HHL4ESiI8K9jiMiIiFCBX6WZi7OINyM8UOTvI4iIiIhRAV+Fo6dKOXVtGwu792etpo6JiIidUgFfhbeXLWLgqJSJg3X6FtEROqWCvx7Ojl1rHdcMwZo6piIiNQxvwrczEab2RYzSzez31SxfqqZbTSztWa20MySKq2baGbbfD8TKy3/xLfP1b6fNjXzlupG6vb9bMs7ysThHTEzr+OIiEiIiahuAzMLB54GRgE5wHIzm+ec21hps1VAinOu0MzuBB4GbjKzlsCDQArggBW+5x70PW+8cy6tBt9PnZmemkGrxlFcpaljIiLiAX9G4IOBdOfcDudcMTAHuKbyBs65Rc65Qt/DJUC87/fLgAXOuQO+0l4AjK6Z6N7JPlDIR5v2cvPgRBpEauqYiIjUPX8KPA7IrvQ4x7fsdCYD7/v53Gm+w+f/aUF0HPqlJZmEmTF+qO46JiIi3vCnwKsqVlflhmYTqDhc/ogfzx3vnOsNnOf7ufU0+5xiZmlmlpafn+9H3NpVWFzKnGVZjO7VjvbNGnodR0REQpQ/BZ4DJFR6HA/knrqRmY0EHgDGOOdOVPdc59wu358FwMtUHKr/Fufc8865FOdcSmxsrB9xa9dbq3I5UqS7jomIiLf8KfDlQLKZdTKzKGAcMK/yBmbWH3iOivLOq7RqPnCpmbUwsxbApcB8M4sws9a+50YCVwHrz/7t1K6TU8d6tm9KSpKmjomIiHeqPQvdOVdqZndTUcbhwIvOuQ1m9hCQ5pybR8Uh8xhgru+r7Czn3Bjn3AEz+yMV/wgAeMi3rDEVRR7p2+dHwD9q/N3VsMU79rNlbwEPX99HU8dERMRT1RY4gHPuPeC9U5b9vtLvI7/juS8CL56y7Bgw8IySBoAZqRm0aBTJmL4dvI4iIiIhTldi81POwUIWbNTUMRERCQwqcD+9tCQTM2OC7jomIiIBQAXuh+PFZby6PJtLe7alQ3NNHRMREe+pwP3w9updHCos0dQxEREJGCrwajjnmJ6awTntmjC4U0uv44iIiAAq8Got23mAzXsKuH2E7jomIiKBQwVejempGTRvFMk1/b7r8u8iIiJ1SwX+HXYdOs6HG/dy06AETR0TEZGAogL/DrOWZOKc41ZNHRMRkQCjAj+NopIy5izLYlTPtsS3aOR1HBERkW9QgZ/GvDW5HCwsYaKmjomISABSgVfBOcf0LzPo3rYJwzq38jqOiIjIt6jAq5CWeZCNu48wcbimjomISGBSgVdhemoGzRpGMra/7jomIiKBSQV+it2Hj/PB+j3cNCiBRlF+3W1VRESkzqnATzF7SRblmjomIiIBTgVeSVFJGS8vy2Jkj7YktNTUMRERCVwq8EreXbubA8eKddcxEREJeCpwH+ccM1IzSG4Tw/AumjomIiKBTQXuszLrIOt2HdbUMRERCQoqcJ/pqZk0aRDBtf111zEREQl8KnBg75Ei3l+3m5tSEmgcraljIiIS+FTgwOwlmZQ5x23DOnodRURExC8hX+AnSiumjl3cvQ2JrTR1TEREgkPIF/i/1+5m39FiJo3o6HUUERERv4V8gc9IzaBLbGN+0LW111FERET8FtIFvirrIGtyDjNJU8dERCTIhHSBT0/NoEl0BNcNiPc6ioiIyBkJ2QLPO1LEe+t2c31KvKaOiYhI0AnZAp+9NIvScsdETR0TEZEgFLIF3jg6nGv7x9GxdWOvo4iIiJyxkD12POX8Ll5HEBER+d5CdgQuIiISzPwqcDMbbWZbzCzdzH5TxfqpZrbRzNaa2UIzS6q0bqKZbfP9TKy0fKCZrfPt8ynTPC4RERG/VVvgZhYOPA1cDvQEbjaznqdstgpIcc71AV4HHvY9tyXwIDAEGAw8aGYtfM/5P2AKkOz7GX3W70ZERCRE+DMCHwykO+d2OOeKgTnANZU3cM4tcs4V+h4uAU5OrL4MWOCcO+CcOwgsAEabWXugqXNusXPOATOBsTXwfkREREKCPwUeB2RXepzjW3Y6k4H3q3lunO/3avdpZlPMLM3M0vLz8/2IKyIiUv/5U+BVfTftqtzQbAKQAjxSzXP93qdz7nnnXIpzLiU2NtaPuCIiIvWfPwWeAyRUehwP5J66kZmNBB4AxjjnTlTz3By+Psx+2n2KiIhI1fwp8OVAspl1MrMoYBwwr/IGZtYfeI6K8s6rtGo+cKmZtfCdvHYpMN85txsoMLOhvrPPbwPeroH3IyIiEhKqvZCLc67UzO6moozDgRedcxvM7CEgzTk3j4pD5jHAXN9ssCzn3Bjn3AEz+yMV/wgAeMg5d8D3+53AdKAhFd+Zv4+IiIj4xSpOAg8OKSkpLi0tzesYIiIidcLMVjjnUqpapyuxiYiIBCEVuIiISBBSgYuIiAShoPoO3Mzygcwa3GVrYF8N7i/Y6fP4mj6Lb9Ln8U36PL6mz+KbavrzSHLOVXkRlKAq8JpmZmmnOzkgFOnz+Jo+i2/S5/FN+jy+ps/im+ry89AhdBERkSCkAhcREQlCoV7gz3sdIMDo8/iaPotv0ufxTfo8vqbP4pvq7PMI6e/ARUREglWoj8BFRESCUsgWuJmFm9kqM3vX6yxeM7MMM1tnZqvNLOSvVWtmzc3sdTPbbGabzGyY15m8YmbdfX8vTv4cMbN7vM7lFTO718w2mNl6M3vFzBp4nclLZvZL32exIRT/XpjZi2aWZ2brKy1raWYLzGyb788WtfX6IVvgwC+BTV6HCCAXOef6aToIAE8CHzjnzgH6EsJ/T5xzW3x/L/oBA4FC4E2PY3nCzOKAXwApzrleVNzcaZy3qbxjZr2AnwCDqfjv5CozS/Y2VZ2bDow+ZdlvgIXOuWRgoe9xrQjJAjezeOBK4J9eZ5HAYmZNgfOBFwCcc8XOuUPepgoYlwDbnXM1eTGlYBMBNDSzCKARkOtxHi/1AJY45wqdc6XAp8C1HmeqU865z4ADpyy+Bpjh+30GMLa2Xj8kCxz4G/AroNzrIAHCAR+a2Qozm+J1GI91BvKBab6vWP5pZo29DhUgxgGveB3CK865XcCjQBawGzjsnPvQ21SeWg+cb2atzKwRcAWQ4HGmQNDWObcbwPdnm9p6oZArcDO7Cshzzq3wOksAGeGcGwBcDtxlZud7HchDEcAA4P+cc/2BY9TiIbBgYWZRwBhgrtdZvOL7LvMaoBPQAWhsZhO8TeUd59wm4K/AAuADYA1Q6mmoEBNyBQ6MAMaYWQYwB7jYzGZ5G8lbzrlc3595VHy/OdjbRJ7KAXKcc0t9j1+notBD3eXASufcXq+DeGgksNM5l++cKwHeAIZ7nMlTzrkXnHMDnHPnU3EoeZvXmQLAXjNrD+D7M6+2XijkCtw591vnXLxzriMVhwQ/ds6F7L+izayxmTU5+TtwKRWHxkKSc24PkG1m3X2LLgE2ehgpUNxMCB8+98kChppZIzMzKv5uhOwJjgBm1sb3ZyJwHfo7AjAPmOj7fSLwdm29UERt7ViCRlvgzYr/PyICeNk594G3kTz3c2C277DxDuB2j/N4yvf95ijgp15n8ZJzbqmZvQ6spOJQ8Sp0FbJ/mVkroAS4yzl30OtAdcnMXgEuBFqbWQ7wIPAX4DUzm0zFP/puqLXX15XYREREgk/IHUIXERGpD1TgIiIiQUgFLiIiEoRU4CIiIkFIBS4iIhKEVOAiIiJBSAUuIiIShFTgIiIiQej/A/E5qeljBKW+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(100, figsize=(8, 6))\n",
    "plt.plot(np.array(val_int)[:,0], np.array(val_int)[:,1])\n",
    "plt.scatter(val_int[np.where(val_int == np.max(val_int, 0)[1])[0][0]][0],val_int[np.where(val_int == np.max(val_int, 0)[1])[0][0]][1])\n",
    "plt.savefig(\"internal_score_kmeans\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(100, figsize=(8, 6))\n",
    "plt.plot(np.array(val_ext)[:,0], np.array(val_ext)[:,1])\n",
    "plt.scatter(val_ext[np.where(val_ext == np.max(val_ext, 0)[1])[0][0]][0],val_ext[np.where(val_ext == np.max(val_ext, 0)[1])[0][0]][1])\n",
    "plt.savefig(\"external_score_kmeans\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_k=4 #choosed number of clusters\n",
    "##best_k=choose_best_k(val_int,val_ext) to implement?\n",
    "report_clusters(ids, k_labels_for_k[best_k-2], \"tp2_data/KMEANS_\"+str(best_k)+\"cluster\"+str(n_feat)+\"feat.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "#n_feat_max=9\n",
    "#all=kmeans_all_results_for_different_features(featu,indexes,n_cluster_max,n_feat_max,vlarray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "#bisecting k-means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "n_clust=8\n",
    "n_feat=3\n",
    "\n",
    "features_last_sel = features_sel[:,indexes[:n_feat]]\n",
    "\n",
    "res_real_bi=uti.new_BiKMemans_predict(n_clust,featu)\n",
    "\n",
    "report_clusters_hierarchical(ids,res_real_bi,\"tp2_data/NewBiKmeans\"+str(n_clust)+\"cluster\"+str(n_feat)+\"feat.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "#another method of clustering: agglomerative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_cluster_max = 10\n",
    "n_feat = 4\n",
    "\n",
    "vlarray=uti.take_valid_labels(labels)\n",
    "featu = features_sel[:,indexes[:n_feat]]\n",
    "\n",
    "int_aggl, ext_aggl, label_aggl = uti.aggl_all_results(featu,n_cluster_min,n_cluster_max,vlarray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 4.        ,  0.21615006],\n",
       "       [ 5.        ,  0.22740658],\n",
       "       [ 6.        ,  0.22380234],\n",
       "       [ 7.        ,  0.18595646],\n",
       "       [ 8.        ,  0.1861212 ],\n",
       "       [ 9.        ,  0.1913838 ],\n",
       "       [10.        ,  0.1965979 ]])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int_aggl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int_aggl = np.array(int_aggl)\n",
    "int_aggl[np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(100, figsize=(8, 6))\n",
    "plt.plot(np.array(int_aggl)[:,0], np.array(int_aggl)[:,1])\n",
    "plt.scatter(int_aggl[np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]][0],int_aggl[np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]][1])\n",
    "plt.savefig(\"internal_score_agglomerative\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_int_k=int(int_aggl[np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]][0])\n",
    "report_clusters(ids, k_labels_for_k[best_k-2], \"tp2_data/AGGLOMERATIVE_\"+str(best_k)+\"cluster\"+str(n_feat)+\"feat.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[4, 0.14968752300202245],\n",
       " [5, 0.177900649304421],\n",
       " [6, 0.172745515343011],\n",
       " [7, 0.172745515343011],\n",
       " [8, 0.15842036638755153],\n",
       " [9, 0.17736930234659504],\n",
       " [10, 0.16914759375259744]]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ext_aggl\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(100, figsize=(8, 6))\n",
    "plt.plot(np.array(ext_aggl)[:,0], np.array(ext_aggl)[:,1])\n",
    "plt.scatter(ext_aggl[np.where(ext_aggl == np.max(ext_aggl, 0)[1])[0][0]][0],ext_aggl[np.where(ext_aggl == np.max(ext_aggl, 0)[1])[0][0]][1])\n",
    "plt.savefig(\"external_score_agglomerative\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_ext_k=int(ext_aggl[np.where(ext_aggl == np.max(ext_aggl, 0)[1])[0][0]][0])\n",
    "if best_ext_k!= best_int_k:\n",
    "    report_clusters(ids, k_labels_for_k[best_k-2], \"tp2_data/AGGLOMERATIVE_\"+str(best_k)+\"cluster\"+str(n_feat)+\"feat.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the best k, according to the internal index is:  5\n",
      "Visualization in the file:  htmls/Agglomerative_5cluster4feat_int.html\n",
      "the best k, according to the external index is:  3\n",
      "Visualization in the file:  htmls/Agglomerative_3cluster4feat_ext.html\n"
     ]
    }
   ],
   "source": [
    "\n",
    "n_cluster_min=2\n",
    "n_cluster_max=6\n",
    "resu=uti.clustering_valutation_visualization(\"Agglomerative\",ids,labels,featu,n_cluster_min,n_cluster_max,uti.aggl_all_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the best k, according to the internal index is:  6\n",
      "Visualization in the file:  htmls/K-means_6cluster4feat_int.html\n",
      "the best k, according to the external index is:  3\n",
      "Visualization in the file:  htmls/K-means_3cluster4feat_ext.html\n"
     ]
    }
   ],
   "source": [
    "resu=uti.clustering_valutation_visualization(\"K-means\",ids,labels,featu,n_cluster_min,n_cluster_max,uti.kmeans_all_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the best k, according to the internal index is:  4\n",
      "Visualization in the file:  htmls/Mixture_4cluster3feat_int.html\n",
      "the best k, according to the external index is:  3\n",
      "Visualization in the file:  htmls/Mixture_3cluster3feat_ext.html\n"
     ]
    }
   ],
   "source": [
    "\n",
    "resu=uti.clustering_valutation_visualization(\"Mixture\",ids,labels,featu[:,:3],n_cluster_min,n_cluster_max,uti.mixture_all_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Visualization in the file:  htmls/NewBiKmeans12cluster6feat.html\n"
     ]
    }
   ],
   "source": [
    "n_cluster=12\n",
    "n_feat=6\n",
    "uti.bisect_kmeans_visualization(ids,featu,n_feat,n_cluster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_feat=featu.shape[1]\n",
    "n_feat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 0, 3, 0, 2, 2, 2, 3, 0, 2, 0, 1, 2, 2, 3, 0, 3, 2, 3, 2, 2, 3,\n",
       "       2, 3, 0, 2, 0, 2, 0, 2, 0, 2, 3, 0, 0, 0, 2, 2, 3, 2, 3, 0, 2, 1,\n",
       "       2, 2, 3, 2, 2, 2, 1, 2, 2, 0, 0, 2, 2, 2, 2, 3, 2, 2, 0, 3, 2, 2,\n",
       "       3, 2, 0, 0, 3, 0, 2, 2, 0, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2, 0, 2, 1,\n",
       "       2, 0, 2, 2, 0, 0, 2, 0, 0, 2, 2, 3, 0, 2, 0, 2, 2, 0, 0, 3, 0, 0,\n",
       "       3, 0, 2, 3, 2, 0, 0, 2, 0, 2, 3, 0, 3, 0, 2, 2, 3, 0, 0, 2, 2, 3,\n",
       "       2, 2, 3, 2, 2, 0, 0, 3, 2, 2, 3, 3, 3, 2, 2, 2, 3, 3, 3, 2, 2, 0,\n",
       "       2, 2, 2, 2, 3, 2, 2, 0, 0, 3, 2, 2, 2, 0, 0, 3, 3, 3, 0, 3, 2, 0,\n",
       "       2, 2, 2, 2, 2, 2, 2, 0, 2, 3, 2, 0, 2, 2, 0, 2, 3, 0, 2, 0, 2, 3,\n",
       "       1, 0, 0, 0, 3, 2, 2, 0, 3, 0, 0, 0, 0, 2, 0, 2, 2, 1, 3, 3, 0, 0,\n",
       "       2, 2, 0, 2, 2, 0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0,\n",
       "       2, 2, 0, 3, 2, 0, 2, 2, 2, 0, 0, 2, 0, 3, 2, 0, 2, 3, 3, 2, 2, 2,\n",
       "       0, 2, 0, 3, 2, 3, 0, 2, 2, 3, 2, 2, 2, 0, 0, 0, 0, 0, 2, 3, 2, 2,\n",
       "       2, 2, 3, 3, 0, 2, 0, 3, 0, 2, 0, 2, 3, 2, 2, 3, 0, 2, 2, 2, 0, 2,\n",
       "       2, 3, 2, 3, 2, 2, 2, 2, 3, 3, 0, 2, 2, 3, 0, 3, 0, 2, 0, 2, 0, 2,\n",
       "       0, 2, 2, 3, 2, 2, 0, 2, 3, 2, 2, 2, 3, 0, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 0, 0, 2, 2, 2, 3, 0, 2, 3, 2, 0, 2, 0, 0, 0, 3, 3, 0, 2, 2, 0,\n",
       "       2, 0, 3, 2, 2, 0, 0, 2, 0, 2, 2, 2, 3, 2, 2, 0, 0, 0, 2, 0, 2, 2,\n",
       "       2, 0, 1, 0, 0, 2, 0, 3, 3, 2, 2, 2, 0, 3, 2, 2, 2, 2, 3, 0, 2, 3,\n",
       "       3, 2, 0, 2, 2, 2, 3, 0, 2, 3, 0, 2, 2, 2, 2, 2, 0, 3, 2, 0, 2, 0,\n",
       "       0, 0, 2, 3, 2, 2, 0, 0, 2, 2, 2, 3, 2, 2, 0, 3, 3, 0, 0, 0, 3, 0,\n",
       "       2, 2, 0, 3, 1, 0, 0, 2, 2, 2, 3, 2, 2, 0, 3, 1, 2, 3, 0, 2, 0, 2,\n",
       "       3, 2, 0, 0, 2, 2, 0, 2, 2, 2, 2, 0, 2, 2, 2, 3, 3, 2, 2, 0, 2, 0,\n",
       "       2, 2, 3, 2, 0, 2, 0, 3, 2, 3, 1, 0, 3, 2, 3, 0, 2, 1, 3, 2, 2, 2,\n",
       "       3, 2, 2, 1, 2, 3, 0, 2, 2, 0, 2, 0, 3, 2, 2, 2, 2, 2, 2, 2, 0, 3,\n",
       "       3, 2, 3, 2, 2, 0, 0, 0, 0, 0, 2, 3, 0], dtype=int64)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import mixture\n",
    "clf = mixture.GaussianMixture(n_components=4, covariance_type='full')\n",
    "clf.fit_predict(featu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clustering_valutation_visualization(file_prefix,ids,featu,n_cluster_max,vlarray,f1):\n",
    "    \n",
    "    int_aggl, ext_aggl, label_aggl = f1(featu,n_cluster_max,vlarray)\n",
    "    \n",
    "    int_aggl = np.array(int_aggl)\n",
    "    int_aggl[np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]][0]\n",
    "    best_int_k=int(int_aggl[np.where(int_aggl == np.max(int_aggl, 0)[1])[0][0]][0])\n",
    "    \n",
    "    report_clusters(ids, k_labels_for_k[best_int_k-2], \"tp2_data/\"+file_prefix+\"_\"+str(best_int_k)+\"cluster\"+str(n_feat)+\"feat.html\")\n",
    "    ext_aggl = np.array(ext_aggl)\n",
    "    best_ext_k=int(ext_aggl[np.where(ext_aggl == np.max(ext_aggl, 0)[1])[0][0]][0])\n",
    "    if best_ext_k!= best_int_k:\n",
    "        report_clusters(ids, k_labels_for_k[best_ext_k-2], \"tp2_data/\"+file_prefix+\"_\"+str(best_ext_k)+\"cluster\"+str(n_feat)+\"feat.html\")\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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