# gmmpost

## Purpose

Computes the class posterior probabilities of a Gaussian mixture model.

## Synopsis

    function post = gmmpost(mix, x)

## Description

This function computes the posteriors `post` (i.e. the probability of each component conditioned on the data `p(j|x)`) for a Gaussian mixture model. The data structure `mix` defines the mixture model, while the matrix `x` contains the data vectors. Each row of `x` represents a single vector.

## See Also

`gmm`, `gmmactiv`, `gmmprob`

Pages: Index

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