clustvarsel: Variable Selection for Gaussian Model-Based Clustering
Version 2.3

An R package implementing variable selection methodology for Gaussian model-based clustering which allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting MCLUST models. By default the algorithm uses a sequential search, but parallelisation is also available.

Package details

AuthorNema Dean [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre]
Date of publication2017-02-24 16:46:51
MaintainerLuca Scrucca <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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clustvarsel documentation built on May 30, 2017, 3:18 a.m.