Daniel@0: Daniel@0:
Daniel@0:Daniel@0: post = mdnpost(mixparams, t) Daniel@0: [post, a] = mdnpost(mixparams, t) Daniel@0:Daniel@0: Daniel@0: Daniel@0:
post = mdnpost(mixparams, t)
computes the posterior
Daniel@0: probability p(j|t)
of each
Daniel@0: data vector in t
under the Gaussian mixture model represented by the
Daniel@0: corresponding entries in mixparams
. Each row of t
represents a
Daniel@0: single vector.
Daniel@0:
Daniel@0: [post, a] = mdnpost(mixparams, t)
also computes the activations
Daniel@0: a
(i.e. the probability p(t|j)
of the data conditioned on
Daniel@0: each component density) for a Gaussian mixture model.
Daniel@0:
Daniel@0:
mdngrad
, mdnprob
Copyright (c) Ian T Nabney (1996-9) Daniel@0:
David J Evans (1998) Daniel@0: Daniel@0: Daniel@0: