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machine learning framework: Unsupervised Analysis
Author

SCCH GmbH
Organization: SCCH GmbH
URL: http://www.scch.at
Revision date

2003-01-24
Description

This example describes several methods available for unsupervised learning in machine learning framework, including how self-organizing maps (SOMs) can be computed, how different clustering methods can be used to find regions of similarity in the data, and how supervised learning methods are applied to create descriptions for the clusters found.
Subject

*Mathematica Technology > Application Packages > Applications from Independent Developers > machine learning framework
Related items

*machine learning framework   [in Technical Notes]
*machine learning framework: Approximation   [in MathSource: Packages and Programs]
*machine learning framework: Supervised Analysis   [in MathSource: Packages and Programs]
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unsupervised.nb (1.9 MB) - Mathematica Notebook