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<html><head><title>Netlab Reference Manual demgmm1</title></head><body><H1> demgmm1</H1><h2>Purpose</h2>Demonstrate density modelling with a Gaussian mixture model.<p><h2>Synopsis</h2><PRE>demgmm1</PRE><p><h2>Description</h2>The problem consists of modelling data generated by a mixture of threeGaussians in 2 dimensions. The priors are 0.3,0.5 and 0.2; the centres are (2, 3.5), (0, 0) and (0,2); the variancesare 0.2, 0.5 and 1.0. The first figure contains a scatter plot of the data.<p>A Gaussian mixture model with three components is trained using EM. Theparameter vector is printed before training and after training. The usershould press any key to continue at these points. The parameter vectorconsists of priors (the column), centres (given as (x, y) pairs asthe next two columns), and variances (the last column). <p>The second figure is a 3 dimensional view of the density function, whilethe third shows the 1-standard deviation circles for the three components ofthe mixture model. <p><h2>See Also</h2><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><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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