Mercurial > hg > camir-aes2014

annotate toolboxes/FullBNT-1.0.7/nethelp3.3/demknn1.htm @ 0:e9a9cd732c1e tip

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
parents
children
rev   line source
wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual demknn1
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> demknn1
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Demonstrate nearest neighbour classifier.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19 demknn1</PRE>
wolffd@0 20
wolffd@0 21
wolffd@0 22 <p><h2>
wolffd@0 23 Description
wolffd@0 24 </h2>
wolffd@0 25 The problem consists of data in a two-dimensional space.
wolffd@0 26 The data is
wolffd@0 27 drawn from three spherical Gaussian distributions with priors 0.3,
wolffd@0 28 0.5 and 0.2; centres (2, 3.5), (0, 0) and (0,2); and standard deviations
wolffd@0 29 0.2, 0.5 and 1.0. The first figure contains a
wolffd@0 30 scatter plot of the data. The data is the same as in <CODE>demgmm1</CODE>.
wolffd@0 31
wolffd@0 32 <p>The second
wolffd@0 33 figure shows the data labelled with the corresponding class given
wolffd@0 34 by the classifier.
wolffd@0 35
wolffd@0 36 <p><h2>
wolffd@0 37 See Also
wolffd@0 38 </h2>
wolffd@0 39 <CODE><a href="dem2ddat.htm">dem2ddat</a></CODE>, <CODE><a href="demgmm1.htm">demgmm1</a></CODE>, <CODE><a href="knn.htm">knn</a></CODE><hr>
wolffd@0 40 <b>Pages:</b>
wolffd@0 41 <a href="index.htm">Index</a>
wolffd@0 42 <hr>
wolffd@0 43 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 44
wolffd@0 45
wolffd@0 46 </body>
wolffd@0 47 </html>