Introduction - If you have any usage issues, please Google them yourself
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.