HDclassif (1.2.2)

High Dimensional Supervised Classification and Clustering.


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.

Maintainer: L.Berge
Author(s): Laurent Bergé, Charles Bouveyron and Stéphane Girard

License: GPL-2

Uses: MASS
Reverse suggests: caret, fscaret

Released about 7 years ago.