High Dimensional Supervised Classification and Clustering
Description
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.