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date Tue, 10 Feb 2015 15:05:51 +0000
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+<html>
+<head>
+<title>
+Netlab Reference Manual demkmean
+</title>
+</head>
+<body>
+<H1> demkmean
+</H1>
+<h2>
+Purpose
+</h2>
+Demonstrate simple clustering model trained with K-means.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+demkmean</PRE>
+
+
+<p><h2>
+Description
+</h2>
+The problem consists of data in a two-dimensional space. 
+The data is
+drawn from three spherical Gaussian distributions with priors 0.3,
+0.5 and 0.2; centres (2, 3.5), (0, 0) and (0,2); and standard deviations
+0.2, 0.5 and 1.0. The first figure contains a
+scatter plot of the data.  The data is the same as in <CODE>demgmm1</CODE>.
+
+<p>A cluster model with three components is trained using the batch
+K-means algorithm. The matrix of centres is printed after training.
+The second
+figure shows the data labelled with a colour derived from the corresponding 
+cluster
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="dem2ddat.htm">dem2ddat</a></CODE>, <CODE><a href="demgmm1.htm">demgmm1</a></CODE>, <CODE><a href="knn1.htm">knn1</a></CODE>, <CODE><a href="kmeans.htm">kmeans</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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