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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.
Getting started
Browse package contents
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 |
Install the latest version of this package by entering the following in R:
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