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.

Package details

AuthorLaurent Berge, Charles Bouveyron and Stephane Girard
MaintainerLaurent Berge <laurent.berge@uni.lu>
Package repositoryView on CRAN
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HDclassif documentation built on Nov. 20, 2019, 1:07 a.m.