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author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Netlab Reference Manual demglm2
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<H1> demglm2
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<h2>
Purpose
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Demonstrate simple classification using a generalized linear model.

<p><h2>
Synopsis
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<PRE>
demglm1</PRE>


<p><h2>
Description
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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 three Gaussian clusters, and a generalized linear model
with softmax output is trained using iterative reweighted least squares.
A plot of the data together with regions shaded by the classification
given 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)


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