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| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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| 1 <html> | |
| 2 <head> | |
| 3 <title> | |
| 4 Netlab Reference Manual gmmpost | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> gmmpost | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Computes the class posterior probabilities of a Gaussian mixture model. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 | |
| 20 function post = gmmpost(mix, x) | |
| 21 </PRE> | |
| 22 | |
| 23 | |
| 24 <p><h2> | |
| 25 Description | |
| 26 </h2> | |
| 27 This function computes the posteriors <CODE>post</CODE> (i.e. the probability of each | |
| 28 component conditioned on the data <CODE>p(j|x)</CODE>) for a Gaussian mixture model. | |
| 29 The data structure <CODE>mix</CODE> defines the mixture model, while the matrix | |
| 30 <CODE>x</CODE> contains the data vectors. Each row of <CODE>x</CODE> represents a single | |
| 31 vector. | |
| 32 | |
| 33 <p><h2> | |
| 34 See Also | |
| 35 </h2> | |
| 36 <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> | |
| 37 <b>Pages:</b> | |
| 38 <a href="index.htm">Index</a> | |
| 39 <hr> | |
| 40 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 41 | |
| 42 | |
| 43 </body> | |
| 44 </html> |