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.
To Search:
File list (Check if you may need any files):
HDclassif.pdf
Download