DocumentCode
915652
Title
Generalized inverse approach to clustering, feature selecting, and classification
Author
Wee, William G.
Volume
17
Issue
3
fYear
1971
fDate
5/1/1971 12:00:00 AM
Firstpage
262
Lastpage
269
Abstract
This paper gives a unified approach to designing a data analyzer that performs cluster-seeking, feature selection, and categorizer design under a weighted least-square performance criterion. The cost of misrecognitions is preserved throughout the process, It can be used as a fast procedure to evaluate the discriminatory capability of sensors and/or preprocessors.
Keywords
Feature extraction; Pattern classification; Pattern clustering methods; Colored noise; Costs; Data analysis; Decoding; Filters; Military computing; Pattern analysis; Pattern recognition; Performance analysis; System analysis and design;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1971.1054631
Filename
1054631
Link To Document