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author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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Daniel@0 | 1 <html> |
Daniel@0 | 2 <head> |
Daniel@0 | 3 <title> |
Daniel@0 | 4 Netlab Reference Manual demns1 |
Daniel@0 | 5 </title> |
Daniel@0 | 6 </head> |
Daniel@0 | 7 <body> |
Daniel@0 | 8 <H1> demns1 |
Daniel@0 | 9 </H1> |
Daniel@0 | 10 <h2> |
Daniel@0 | 11 Purpose |
Daniel@0 | 12 </h2> |
Daniel@0 | 13 Demonstrate Neuroscale for visualisation. |
Daniel@0 | 14 |
Daniel@0 | 15 <p><h2> |
Daniel@0 | 16 Synopsis |
Daniel@0 | 17 </h2> |
Daniel@0 | 18 <PRE> |
Daniel@0 | 19 demns1</PRE> |
Daniel@0 | 20 |
Daniel@0 | 21 |
Daniel@0 | 22 <p><h2> |
Daniel@0 | 23 Description |
Daniel@0 | 24 </h2> |
Daniel@0 | 25 This script demonstrates the use of the Neuroscale algorithm for |
Daniel@0 | 26 topographic projection and visualisation. A data sample is generated |
Daniel@0 | 27 from a mixture of two Gaussians in 4d space, and an RBF is trained |
Daniel@0 | 28 with the stress error function to project the data into 2d. The training |
Daniel@0 | 29 data and a test sample are both plotted in this projection. |
Daniel@0 | 30 |
Daniel@0 | 31 <p><h2> |
Daniel@0 | 32 See Also |
Daniel@0 | 33 </h2> |
Daniel@0 | 34 <CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbftrain.htm">rbftrain</a></CODE>, <CODE><a href="rbfprior.htm">rbfprior</a></CODE><hr> |
Daniel@0 | 35 <b>Pages:</b> |
Daniel@0 | 36 <a href="index.htm">Index</a> |
Daniel@0 | 37 <hr> |
Daniel@0 | 38 <p>Copyright (c) Ian T Nabney (1996-9) |
Daniel@0 | 39 |
Daniel@0 | 40 |
Daniel@0 | 41 </body> |
Daniel@0 | 42 </html> |