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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.
Package details |
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| Author | Laurent Berge [aut, cre], Charles Bouveyron [aut], Stephane Girard [aut] |
| Maintainer | Laurent Berge <laurent.berge@u-bordeaux.fr> |
| License | GPL-2 |
| Version | 2.2.2 |
| Package repository | View on CRAN |
| Installation |
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