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<html><head><title>Netlab Reference Manual gmmpost</title></head><body><H1> gmmpost</H1><h2>Purpose</h2>Computes the class posterior probabilities of a Gaussian mixture model.<p><h2>Synopsis</h2><PRE>function post = gmmpost(mix, x)</PRE><p><h2>Description</h2>This function computes the posteriors <CODE>post</CODE> (i.e. the probability of eachcomponent conditioned on the data <CODE>p(j|x)</CODE>) for a Gaussian mixture model. The data structure <CODE>mix</CODE> defines the mixture model, while the matrix<CODE>x</CODE> contains the data vectors. Each row of <CODE>x</CODE> represents a singlevector.<p><h2>See Also</h2><CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmactiv.htm">gmmactiv</a></CODE>, <CODE><a href="gmmprob.htm">gmmprob</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
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