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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 |
Reference manual: | varclust.pdf |
Vignettes: |
varclust tutorial |
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 |
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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.