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 DOI: 10.32614/CRAN.package.varclust Author: Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan Maintainer: Piotr Sobczyk <pj.sobczyk at gmail.com> License: GPL-3 NeedsCompilation: no Materials: README CRAN checks: varclust results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=varclust to link to this page.
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