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+<html>
+<head>
+<title>
+Netlab Reference Manual demglm1
+</title>
+</head>
+<body>
+<H1> demglm1
+</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 input
+matrix <CODE>data</CODE> and a vector of classifications <CODE>t</CODE>.  The data is 
+generated from two Gaussian clusters, and a generalized linear model
+with logistic output is trained using iterative reweighted least squares.
+A plot of the data together with the 0.1, 0.5 and 0.9 contour lines
+of the conditional probability is generated.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="demglm2.htm">demglm2</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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