Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22610
Authors: 
Weihs, Claus
Luebke, Karsten
Year of Publication: 
2005
Series/Report no.: 
Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2005,19
Abstract: 
A lot of alternatives and constraints have been proposed in order to improve the Fisher criterion. But most of them are not linked to the error rate, the primary interest in many applications of classification. By introducing an upper bound for the error rate a criterion is developed which can improve the classification performance.
Subjects: 
Fisher criterion
Linear discriminant analysis
Feature extraction
Document Type: 
Working Paper

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