📄 gmmunpak.htm
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<html><head><title>Netlab Reference Manual gmmunpak</title></head><body><H1> gmmunpak</H1><h2>Purpose</h2>Separates a vector of Gaussian mixture model parameters into its components.<p><h2>Synopsis</h2><PRE>mix = gmmunpak(mix, p)</PRE><p><h2>Description</h2><CODE>mix = gmmunpak(mix, p)</CODE>takes a GMM data structure <CODE>mix</CODE> and a single row vector of parameters <CODE>p</CODE> and returns a mixture data structureidentical to the input <CODE>mix</CODE>, except that the mixing coefficients<CODE>priors</CODE>, centres <CODE>centres</CODE> and covariances <CODE>covars</CODE> (and, for PPCA, the lambdas and U (PCA sub-spaces)) are all setto the corresponding elements of <CODE>p</CODE>.<p><h2>See Also</h2><CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmpak.htm">gmmpak</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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