clustvarsel: Variable Selection for Gaussian Model-Based Clustering
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 |
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