clustvarsel: Variable Selection for Gaussian Model-Based Clustering
Version 2.3.1

Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology 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 publication2017-07-07 16:23:03 UTC
MaintainerLuca Scrucca <luca.scrucca@unipg.it>
LicenseGPL (>= 2)
Version2.3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clustvarsel")

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clustvarsel documentation built on July 7, 2017, 5:01 p.m.