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