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<html><head><title>Netlab Reference Manual mdn2gmm</title></head><body><H1> mdn2gmm</H1><h2>Purpose</h2>Converts an MDN mixture data structure to array of GMMs.<p><h2>Synopsis</h2><PRE>gmmmixes = mdn2gmm(mdnmixes)</PRE><p><h2>Description</h2><CODE>gmmmixes = mdn2gmm(mdnmixes)</CODE> takes an MDN mixture data structure<CODE>mdnmixes</CODE>containing three matrices (for priors, centres and variances) where eachrow represents the corresponding parameter values for a different mixture model and creates an array of GMMs. These can then be used with the standardNetlab Gaussian mixture model functions.<p><h2>Example</h2><PRE>mdnmixes = mdnfwd(net, x);mixes = mdn2gmm(mdnmixes);p = gmmprob(mixes(1), y);</PRE>This creates an array GMM mixture models (one for each data point in<CODE>x</CODE>). The vector <CODE>p</CODE> is then filled with the conditionalprobabilities of the values <CODE>y</CODE> given <CODE>x(1,:)</CODE>.<p><h2>See Also</h2><CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mdnfwd.htm">mdnfwd</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)<p>David J Evans (1998)</body></html>⌨️ 快捷键说明
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