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.

Version: 0.9.4
Depends: R (≥ 3.2.1)
Imports: RcppEigen, foreach, parallel, doParallel, doRNG, pesel
Suggests: knitr, mclust, rmarkdown, testthat
Published: 2019-06-26
Author: Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan
Maintainer: Piotr Sobczyk <pj.sobczyk at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: varclust results


Reference manual: varclust.pdf
Vignettes: varclust tutorial
Package source: varclust_0.9.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): varclust_0.9.4.tgz, r-release (x86_64): varclust_0.9.4.tgz, r-oldrel: varclust_0.9.4.tgz


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