varclust (0.9.4)

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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.

Maintainer: Piotr Sobczyk
Author(s): Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan

License: GPL-3

Uses: doParallel, doRNG, foreach, pesel, RcppEigen, mclust, testthat, knitr, rmarkdown

Released 9 months ago.



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