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.
- Version2.3.4
- R version≥ 3.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- clustvarsel citation info
- Last release12/16/2020
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Team
Luca Scrucca
MaintainerShow author detailsAdrian E. Raftery
Show author detailsRolesAuthorNema Dean
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- Depends1 package
- Imports4 packages
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