# mdnpost

## Purpose

Computes the posterior probability for each MDN mixture component.

## Synopsis

    post = mdnpost(mixparams, t)
    [post, a] = mdnpost(mixparams, t)

## Description

`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`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)

David J Evans (1998)