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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 gmmactiv | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> gmmactiv | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Computes the activations of a Gaussian mixture model. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 | |
| 20 a = gmmactiv(mix, x) | |
| 21 </PRE> | |
| 22 | |
| 23 | |
| 24 <p><h2> | |
| 25 Description | |
| 26 </h2> | |
| 27 This function computes the activations <CODE>a</CODE> (i.e. the | |
| 28 probability <CODE>p(x|j)</CODE> of the data conditioned on each component density) | |
| 29 for a Gaussian mixture model. For the PPCA model, each activation | |
| 30 is the conditional probability of <CODE>x</CODE> given that it is generated | |
| 31 by the component subspace. | |
| 32 The data structure <CODE>mix</CODE> defines the mixture model, while the matrix | |
| 33 <CODE>x</CODE> contains the data vectors. Each row of <CODE>x</CODE> represents a single | |
| 34 vector. | |
| 35 | |
| 36 <p><h2> | |
| 37 See Also | |
| 38 </h2> | |
| 39 <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmpost.htm">gmmpost</a></CODE>, <CODE><a href="gmmprob.htm">gmmprob</a></CODE><hr> | |
| 40 <b>Pages:</b> | |
| 41 <a href="index.htm">Index</a> | |
| 42 <hr> | |
| 43 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 44 | |
| 45 | |
| 46 </body> | |
| 47 </html> |