HDclassif: 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.

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AuthorLaurent Berge, Charles Bouveyron and Stephane Girard
Date of publication2016-12-20 15:48:24
MaintainerLaurent Berge <laurent.berge@uni.lu>

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