📄 demkmn1.htm
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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 isdrawn 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 deviations0.2, 0.5 and 1.0. The first figure contains ascatter 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 batchK-means algorithm. The matrix of centres is printed after training.The secondfigure 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>⌨️ 快捷键说明
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