New disciminant analysis and data clustering methods for high dimensional data, based on the asumption 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: | 1.2.1 |
| Depends: | graphics, stats, MASS |
| Published: | 2012-01-08 |
| Author: | L.Berge C.Bouveyron S.Girard |
| Maintainer: | L.Berge <laurent.berge at hotmail.fr> |
| License: | GPL-2 |
| Citation: | HDclassif citation info |
| In views: | Cluster |
| CRAN checks: | HDclassif results |
| Package source: | HDclassif_1.2.1.tar.gz |
| MacOS X binary: | HDclassif_1.2.1.tgz |
| Windows binary: | HDclassif_1.2.1.zip |
| Reference manual: | HDclassif.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | HDclassif archive |
| Reverse suggests: | caret |