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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.
Package details |
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Author | Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan |
Maintainer | Piotr Sobczyk <pj.sobczyk@gmail.com> |
License | GPL-3 |
Version | 0.9.4 |
Package repository | View on CRAN |
Installation |
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