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Generating synthetic clusters to illustrate simple k-means and k-prototypes clustering

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Henrik-Kowalkowski/rClustering

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rClustering

The goal of rClustering is to demonstrate how to generate random circular clusters and illustrate how to apply K-means and K-prototypes clustering.

Installation

install_github("hkowalkowski/[email protected]")

Example

How to generate synthetic 2-d circular clusters:

library(rClustering)
clusts <- make_clusters(4, c_range = 20, density = 500, categorical = F, seed = 1)