Resource title

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

Resource image

image for OpenScout resource :: Improving Feature Extraction by Replacing the Fisher Criterion by an Upper Error Bound

Resource description

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.

Resource author

Claus Weihs, Karsten Luebke

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22610

Resource license

Adapt according to the presented license agreement and reference the original author.