wolffd@0: wolffd@0:
wolffd@0:wolffd@0: wolffd@0: a = gmmactiv(mix, x) wolffd@0:wolffd@0: wolffd@0: wolffd@0:
a (i.e. the
wolffd@0: probability p(x|j) of the data conditioned on each component density)
wolffd@0: for a Gaussian mixture model. For the PPCA model, each activation
wolffd@0: is the conditional probability of x given that it is generated
wolffd@0: by the component subspace.
wolffd@0: The data structure mix defines the mixture model, while the matrix
wolffd@0: x contains the data vectors. Each row of x represents a single
wolffd@0: vector.
wolffd@0:
wolffd@0: gmm, gmmpost, gmmprobCopyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: