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.


Reference manual

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0.9.4 by Piotr Sobczyk, a year ago

Browse source code at

Authors: Piotr Sobczyk , Stanislaw Wilczynski , Julie Josse , Malgorzata Bogdan

Documentation:   PDF Manual  

GPL-3 license

Imports RcppEigen, foreach, parallel, doParallel, doRNG, pesel

Suggests knitr, mclust, rmarkdown, testthat

See at CRAN