Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods (tEIGEN and MCLUST are currently supported).
| Version: | 0.2 |
| Imports: | teigen, mclust |
| Published: | 2013-11-17 |
| Author: | Jeffrey L. Andrews, Paul D. McNicholas |
| Maintainer: | Jeffrey L. Andrews <jeffrey.andrews at macewan.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | vscc citation info |
| CRAN checks: | vscc results |
| Reference manual: | vscc.pdf |
| Package source: | vscc_0.2.tar.gz |
| Windows binaries: | r-devel: vscc_0.2.zip, r-release: vscc_0.2.zip, r-oldrel: vscc_0.2.zip |
| macOS binaries: | r-release: vscc_0.2.tgz, r-oldrel: vscc_0.2.tgz |
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