Improving Feature Extraction by Replacing the Fisher Criterion by an Upper Error Bound

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.

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Year of publication:	2005
Authors:	Weihs, Claus ; Luebke, Karsten
Publisher:	Dortmund : Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Subject:	Diskriminanzanalyse \| Theorie \| Fisher criterion \| Linear discriminant analysis \| Feature extraction

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Series:	Technical Report ; 2005,19
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	499044010 [GVK] hdl:10419/22610 [Handle] RePEc:zbw:sfb475:200519 [RePEc]
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010296681