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Software Tools for Self-Organizing Maps

  • Guido Deboeck
Part of the Springer Finance book series (FINANCE)

Abstract

Data analysis, clustering and visualization with SOM is commonly done with (a) public domain software, (b) self-coded software or (c) commercial software packages. In particular, there is an increasing number of commercial, off-the-shelf, user-friendly software tools that are becoming more and more sophisticated. This chapter contains a brief overview of several public domain software tools as well as a list of commercially available neural network tools that contain a self-organizing map capability.

Keywords

Radial Basis Function Quantization Error Generalize Regression Neural Network Reference Vector Public Domain Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Guido Deboeck

There are no affiliations available

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