Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22582 
Year of Publication: 
2004
Series/Report no.: 
Technical Report No. 2004,69
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
We introduce the idea of Characteristic Regions to solve a classification problem. By identifying regions in which classes are dense (i.e. many observations) and also relevant (for discrimination) we can characterize the different classes. These Characteristic Regions are used to generate a classification rule. The result can be visualized so the user is provided with an insight into data for an easy interpretation.
Document Type: 
Working Paper

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