diff --git a/README.html b/README.html index 15ef9b4..4d9d0d3 100644 --- a/README.html +++ b/README.html @@ -426,7 +426,7 @@

1. Abstract

showcasing the power of topology preserving maps. Below is an image depicting a captivating tessellation of a torus, see vignette for more details.

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Figure 1: The Voronoi tessellation for layer 1 and number of cells 900 with the heat map overlaid for variable z. @@ -561,7 +561,7 @@

HVT (v23.11.02)

score the test datapoints.

Let us try to understand the steps with the help of the diagram below

- +

Figure 2: Data Segregation for scoring based on a sequence of maps using scoreLayeredHVT() diff --git a/README.md b/README.md index ddf7dc0..81ce2b0 100644 --- a/README.md +++ b/README.md @@ -39,7 +39,7 @@ The HVT package is a collection of R functions to facilitate building [topology The HVT package allows creation of visually stunning tessellations, showcasing the power of topology preserving maps. Below is an image depicting a captivating tessellation of a torus, see [vignette](https://nbviewer.org/github/Mu-Sigma/HVT/blob/master/vignettes/HVT_vignette.html) for more details. - +

Figure 1: The Voronoi tessellation for layer 1 and number of cells 900 with the heat map overlaid for variable z.

@@ -146,7 +146,7 @@ The `scoreLayeredHVT` function uses these three maps to score the test datapoint Let us try to understand the steps with the help of the diagram below - +

Figure 2: Data Segregation for scoring based on a sequence of maps using scoreLayeredHVT()