annotate toolboxes/FullBNT-1.0.7/nethelp3.3/demgmm2.htm @ 0:e9a9cd732c1e
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first hg version after svn
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Tue, 10 Feb 2015 15:05:51 +0000 (2015-02-10) |
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1 <html>
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2 <head>
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3 <title>
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4 Netlab Reference Manual demgmm1
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5 </title>
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6 </head>
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7 <body>
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8 <H1> demgmm1
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9 </H1>
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10 <h2>
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11 Purpose
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12 </h2>
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13 Demonstrate density modelling with a Gaussian mixture model.
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14
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15 <p><h2>
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16 Synopsis
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17 </h2>
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18 <PRE>
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19 demgmm1</PRE>
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20
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21
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22 <p><h2>
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23 Description
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24 </h2>
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25 The problem consists of modelling data generated by a mixture of three
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26 Gaussians in 2 dimensions. The priors are 0.3,
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27 0.5 and 0.2; the centres are (2, 3.5), (0, 0) and (0,2); the variances
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28 are 0.2, 0.5 and 1.0. The first figure contains a
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29 scatter plot of the data.
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30
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31 <p>A Gaussian mixture model with three components is trained using EM. The
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32 parameter vector is printed before training and after training. The user
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33 should press any key to continue at these points. The parameter vector
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34 consists of priors (the column), centres (given as (x, y) pairs as
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35 the next two columns), and variances (the last column).
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36
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37 <p>The second figure is a 3 dimensional view of the density function, while
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38 the third shows the 1-standard deviation circles for the three components of
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39 the mixture model.
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40
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41 <p><h2>
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42 See Also
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43 </h2>
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44 <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmminit.htm">gmminit</a></CODE>, <CODE><a href="gmmem.htm">gmmem</a></CODE>, <CODE><a href="gmmprob.htm">gmmprob</a></CODE>, <CODE><a href="gmmunpak.htm">gmmunpak</a></CODE><hr>
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45 <b>Pages:</b>
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46 <a href="index.htm">Index</a>
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47 <hr>
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48 <p>Copyright (c) Ian T Nabney (1996-9)
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49
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50
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51 </body>
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52 </html> |
