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 |
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