knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of rClustering is to demonstrate how to generate random circular clusters and illustrate how to apply K-means and K-prototypes clustering.
install_github("hkowalkowski/rClustering")
How to generate synthetic 2-d circular clusters:
library(rClustering) clusts <- make_clusters(4, c_range = 20, density = 500, categorical = F, seed = 1)
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