varclust: Variables Clustering

Performs clustering of quantitative variables, assuming that clusters lie in low-dimensional subspaces. Segmentation of variables, number of clusters and their dimensions are selected based on BIC. Candidate models are identified based on many runs of K-means algorithm with different random initializations of cluster centers.

Package details

AuthorPiotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan
MaintainerPiotr Sobczyk <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the varclust package in your browser

Any scripts or data that you put into this service are public.

varclust documentation built on June 27, 2019, 5:08 p.m.