06 Nov 2002
02 Dec 2002)
Pattern analysis toolbox.
function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
% 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.
% See also
% MDNGRAD, MDNPROB
% Copyright (c) Ian T Nabney (1996-2001)
% David J Evans (1998)
[prob a] = mdnprob(mixparams, t);
s = sum(prob, 2);
% Set any zeros to one before dividing
s = s + (s==0);
post = prob./(s*ones(1, mixparams.ncentres));