DocumentCode
911170
Title
A minimum distance feature effectiveness criterion (Corresp.)
Author
Fukunaga, Kaori ; Krile, T.
Volume
14
Issue
5
fYear
1968
fDate
9/1/1968 12:00:00 AM
Firstpage
780
Lastpage
782
Abstract
A new criterion for measuring separability of two pattern classes is given that is based on the determination of an averaged minimum distance from the mean feature vectors of two classes to an optimal separating hypersurface determined by Baye´s postulate.
Keywords
Feature extraction; Pattern classification; Aging; Bismuth; Covariance matrix; Density measurement; H infinity control; Pattern classification; Probability density function; Research and development; Scattering;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1968.1054204
Filename
1054204
Link To Document