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||2018-05-11 16:34:03 UTC|
|Maintainer||Laurent Berge <[email protected]>|
|Package repository||View on CRAN|
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