Arbeitspapier
Different Subspace Classification
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.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Report ; No. 2004,69
- Event
-
Geistige Schöpfung
- (who)
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Luebke, Karsten
Szepannek, Gero
- Event
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Veröffentlichung
- (who)
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Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
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Dortmund
- (when)
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2004
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Luebke, Karsten
- Szepannek, Gero
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2004
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Super RaSE: Super random subspace ensemble classification
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Optimal industrial classification: [an application to the German industrial classification system]
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