Discriminant analysis and data clustering methods for high dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints on the model.
| Version: | 1.2.2 |
| Depends: | graphics, stats, MASS |
| Published: | 2013-01-08 |
| Author: | Laurent Bergé, Charles Bouveyron and Stéphane Girard |
| Maintainer: | Laurent Bergé <laurent.berge at hotmail.fr> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | HDclassif citation info |
| Materials: | ChangeLog |
| In views: | Cluster |
| CRAN checks: | HDclassif results |
| Reference manual: | HDclassif.pdf |
| Package source: | HDclassif_1.2.2.tar.gz |
| Windows binaries: | r-devel: HDclassif_1.2.2.zip, r-release: HDclassif_1.2.2.zip, r-oldrel: HDclassif_1.2.2.zip |
| OS X Snow Leopard binaries: | r-release: HDclassif_1.2.2.tgz, r-oldrel: HDclassif_1.2.2.tgz |
| OS X Mavericks binaries: | r-release: HDclassif_1.2.2.tgz |
| Old sources: | HDclassif archive |
| Reverse suggests: | fscaret |