Variable Selection for Gaussian Model-Based Clustering R package clustvarsel version 2.3.5 CRAN Task View: ChemPhys (https://CRAN.R-project.org/view=ChemPhys) CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) 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. Software 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) Luca Scrucca <luca.scrucca@unibo.it> Comprehensive R Archive Network (CRAN) Nema Dean [aut] (ORCID: <https://orcid.org/0000-0002-5080-2517>), Adrian E. Raftery [aut], Luca Scrucca [aut, cre] (ORCID: <https://orcid.org/0000-0003-3826-0484>) GPL (>= 2) 2025-04-02 application/tgz https://CRAN.R-project.org/package=clustvarsel doi:10.32614/CRAN.package.clustvarsel