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
Documentation
Team
Luca Scrucca
MaintainerShow author detailsAdrian E. Raftery
Show author detailsRolesAuthorNema Dean
Insights
Last 30 days
This package has been downloaded 405 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.
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Last 365 days
This package has been downloaded 5,233 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 50 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Imports4 packages
- Suggests4 packages
- Reverse Suggests1 package