DocumentCode
895046
Title
Error rate of linear pattern classifiers based on mean–square error criterion
Author
Chuang, P.C.
Volume
56
Issue
1
fYear
1968
Firstpage
125
Lastpage
126
Abstract
It is found that error rate of linear pattern classifiers based on the mean-square error criterion is uniquely determined by the distance between the means of two pattern classes on the real line when the two pattern classes have the normal distributions with the same covariance matrices.
Keywords
Books; Covariance matrix; Error analysis; Gaussian distribution; Gold; Jacobian matrices; Organizing; Random variables; Upper bound; Vectors;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1968.6193
Filename
1448123
Link To Document