The package offers simple and easy to use functions that perform k-means clustering. In particular, the different stages of clustering are broken up into separate functions (initialization, clustering, and plotting). This allows the user to investigate exactly what is going on at each step, which promotes an understanding of this disparate aspects of the clustering procedure. Furthermore, the plotting (perhaps the most rewarding part of the process) can be done easily - assuming we are in two dimensions - and results in visually appealing images (thanks to ggplot2). An example of how this organizational pattern could prove useful is as an aid to understanding kmeans clustering. Other packages in the R ecosystem that are related/overlap with this package are: kmeans and KMeans_rcpp.
|License||MIT | file LICENSE|
|Package repository||View on GitHub|
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