post = mdnpost(mixparams, t) [post, a] = mdnpost(mixparams, t)
post = mdnpost(mixparams, t) computes the posterior
probability p(j|t) of each
data vector in t under the Gaussian mixture model represented by the
corresponding entries in mixparams. Each row of t represents a
single vector.
[post, a] = mdnpost(mixparams, t) also computes the activations
a (i.e. the probability p(t|j) of the data conditioned on
each component density) for a Gaussian mixture model.
mdngrad, mdnprobCopyright (c) Ian T Nabney (1996-9)
David J Evans (1998)