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<html><head><title>Netlab Reference Manual demglm2</title></head><body><H1> demglm2</H1><h2>Purpose</h2>Demonstrate simple classification using a generalized linear model.<p><h2>Synopsis</h2><PRE>demglm1</PRE><p><h2>Description</h2>The problem consists of a two dimensional inputmatrix <CODE>data</CODE> and a vector of classifications <CODE>t</CODE>. The data is generated from three Gaussian clusters, and a generalized linear modelwith softmax output is trained using iterative reweighted least squares.A plot of the data together with regions shaded by the classificationgiven by the network is generated.<p><h2>See Also</h2><CODE><a href="demglm1.htm">demglm1</a></CODE>, <CODE><a href="glm.htm">glm</a></CODE>, <CODE><a href="glmtrain.htm">glmtrain</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>
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