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.
Version: 2.3.5 Depends: R (≥ 3.2), mclust (≥ 5.3) Imports: stats, Matrix, BMA (≥ 3.18), foreach, iterators Suggests: MASS, parallel, doParallel, knitr (≥ 1.12), rmarkdown (≥ 0.9) Published: 2025-04-02 DOI: 10.32614/CRAN.package.clustvarsel Author: Nema Dean [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre] Maintainer: Luca Scrucca <luca.scrucca at unibo.it> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: clustvarsel citation info Materials: README NEWS In views: ChemPhys, Cluster CRAN checks: clustvarsel results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=clustvarsel to link to this page.
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