📄 som_probability_gmm.html

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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_probability_gmm </title></head><body bgcolor=#f0f0f0><table border=0 width="100%" cellpadding=0 cellspacing=0><tr><td valign=baseline><font size=+2>SOM Toolbox</font></td><td valign=baseline align=center><a href="somtoolbox.html">Online documentation</td><td valign=baseline align=right><a href="http://www.cis.hut.fi/projects/somtoolbox/" target="_top">http://www.cis.hut.fi/projects/somtoolbox/</a></td></tr></table><hr><H1> som_probability_gmm </H1><P><B> [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)</B></P><PRE>SOM_PROBABILITY_GMM Probabilities based on a gaussian mixture model. [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)    [K,P] = som_estimate_gmm(sM,D);   [pd,Pdm,pmd] = som_probability_gmm(D,sM,K,P);   som_show(sM,'color',pmd(:,1),'color',Pdm(:,1))    Input and output arguments:   D    (matrix) size dlen x dim, the data for which the         (struct) data struct,     probabilities are calculated   sM   (struct) map struct        (matrix) size munits x dim, the kernel centers   K    (matrix) size munits x dim, kernel width parameters                 computed by SOM_ESTIMATE_GMM   P    (matrix) size 1 x munits, a priori probabilities for each                  kernel computed by SOM_ESTIMATE_GMM   pd   (vector) size dlen x 1, probability of each data vector in                  terms of the whole gaussian mixture model   Pdm  (matrix) size munits x dlen, probability of each vector in                  terms of each kernel   pmd  (matrix) size munits x dlen, probability of each vector to                  have been generated by each kernel See also SOM_ESTIMATE_GMM.</PRE><p><hr><br><center>[ <a href="somtoolbox.html">SOM Toolbox online doc</a> ]</center><br><!-- Last updated: May 30 2002 --></body></html>

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