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.
|Author||Laurent Berge, Charles Bouveyron and Stephane Girard|
|Date of publication||2016-12-20 15:48:24|
|Maintainer||Laurent Berge <email@example.com>|
|Package repository||View on CRAN|
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