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.
|Author||Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan|
|Maintainer||Piotr Sobczyk <[email protected]>|
|Package repository||View on CRAN|
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