The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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:

Reference manual: varclust.pdf
Vignettes: varclust tutorial

Downloads:

Package source: varclust_0.9.4.tar.gz
Windows binaries: r-devel: varclust_0.9.4.zip, r-release: varclust_0.9.4.zip, r-oldrel: varclust_0.9.4.zip
macOS binaries: r-release (arm64): varclust_0.9.4.tgz, r-oldrel (arm64): varclust_0.9.4.tgz, r-release (x86_64): varclust_0.9.4.tgz, r-oldrel (x86_64): varclust_0.9.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=varclust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.