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| author | Daniel Wolff |
|---|---|
| date | Fri, 19 Aug 2016 13:07:06 +0200 |
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| children |
| rev | line source |
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| Daniel@0 | 1 <html> |
| Daniel@0 | 2 <head> |
| Daniel@0 | 3 <title> |
| Daniel@0 | 4 Netlab Reference Manual demkmean |
| Daniel@0 | 5 </title> |
| Daniel@0 | 6 </head> |
| Daniel@0 | 7 <body> |
| Daniel@0 | 8 <H1> demkmean |
| Daniel@0 | 9 </H1> |
| Daniel@0 | 10 <h2> |
| Daniel@0 | 11 Purpose |
| Daniel@0 | 12 </h2> |
| Daniel@0 | 13 Demonstrate simple clustering model trained with K-means. |
| Daniel@0 | 14 |
| Daniel@0 | 15 <p><h2> |
| Daniel@0 | 16 Synopsis |
| Daniel@0 | 17 </h2> |
| Daniel@0 | 18 <PRE> |
| Daniel@0 | 19 demkmean</PRE> |
| Daniel@0 | 20 |
| Daniel@0 | 21 |
| Daniel@0 | 22 <p><h2> |
| Daniel@0 | 23 Description |
| Daniel@0 | 24 </h2> |
| Daniel@0 | 25 The problem consists of data in a two-dimensional space. |
| Daniel@0 | 26 The data is |
| Daniel@0 | 27 drawn from three spherical Gaussian distributions with priors 0.3, |
| Daniel@0 | 28 0.5 and 0.2; centres (2, 3.5), (0, 0) and (0,2); and standard deviations |
| Daniel@0 | 29 0.2, 0.5 and 1.0. The first figure contains a |
| Daniel@0 | 30 scatter plot of the data. The data is the same as in <CODE>demgmm1</CODE>. |
| Daniel@0 | 31 |
| Daniel@0 | 32 <p>A cluster model with three components is trained using the batch |
| Daniel@0 | 33 K-means algorithm. The matrix of centres is printed after training. |
| Daniel@0 | 34 The second |
| Daniel@0 | 35 figure shows the data labelled with a colour derived from the corresponding |
| Daniel@0 | 36 cluster |
| Daniel@0 | 37 |
| Daniel@0 | 38 <p><h2> |
| Daniel@0 | 39 See Also |
| Daniel@0 | 40 </h2> |
| Daniel@0 | 41 <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> |
| Daniel@0 | 42 <b>Pages:</b> |
| Daniel@0 | 43 <a href="index.htm">Index</a> |
| Daniel@0 | 44 <hr> |
| Daniel@0 | 45 <p>Copyright (c) Ian T Nabney (1996-9) |
| Daniel@0 | 46 |
| Daniel@0 | 47 |
| Daniel@0 | 48 </body> |
| Daniel@0 | 49 </html> |