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author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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<html> <head> <title> Netlab Reference Manual demns1 </title> </head> <body> <H1> demns1 </H1> <h2> Purpose </h2> Demonstrate Neuroscale for visualisation. <p><h2> Synopsis </h2> <PRE> demns1</PRE> <p><h2> Description </h2> This script demonstrates the use of the Neuroscale algorithm for topographic projection and visualisation. A data sample is generated from a mixture of two Gaussians in 4d space, and an RBF is trained with the stress error function to project the data into 2d. The training data and a test sample are both plotted in this projection. <p><h2> See Also </h2> <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> <b>Pages:</b> <a href="index.htm">Index</a> <hr> <p>Copyright (c) Ian T Nabney (1996-9) </body> </html>