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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.5 |
rolling linux/jammy R-4.5 | clustvarsel_2.3.5.tar.gz |
495.5 KiB |
2.3.5 |
rolling linux/noble R-4.5 | clustvarsel_2.3.5.tar.gz |
495.4 KiB |
2.3.5 |
rolling source/ R- | clustvarsel_2.3.5.tar.gz |
436.5 KiB |
2.3.5 |
latest linux/jammy R-4.5 | clustvarsel_2.3.5.tar.gz |
495.5 KiB |
2.3.5 |
latest linux/noble R-4.5 | clustvarsel_2.3.5.tar.gz |
495.4 KiB |
2.3.5 |
latest source/ R- | clustvarsel_2.3.5.tar.gz |
436.5 KiB |
2.3.5 |
2026-04-26 source/ R- | clustvarsel_2.3.5.tar.gz |
436.5 KiB |
2.3.5 |
2026-04-23 source/ R- | clustvarsel_2.3.5.tar.gz |
436.5 KiB |
2.3.5 |
2026-04-09 windows/windows R-4.5 | clustvarsel_2.3.5.zip |
500.5 KiB |
2.3.5 |
2025-04-20 source/ R- | clustvarsel_2.3.5.tar.gz |
436.5 KiB |