DocumentCode
1408351
Title
Suboptimum Linear Feature Selection in Multiclass Problem
Author
Ichino, Manabu ; Hiramatsu, Keiji
Author_Institution
Information Science Laboratory, Tokyo Electrical Engineering College, Tokyo, Japan.
Issue
1
fYear
1974
Firstpage
28
Lastpage
33
Abstract
A suboptimum method of linear feature selection in multiclass problem is presented. The set of features is selected in sequential manner based on an upper bound on the probability of error. The proposed method is applied to a problem of classifying Japanese vowels. Computer simulation results are presented and discussed.
Keywords
Computer errors; Computer simulation; Covariance matrix; Density functional theory; Density measurement; Extraterrestrial measurements; Gaussian distribution; Pattern recognition; Upper bound; Vectors;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1974.5408517
Filename
5408517
Link To Document