Design of Multicategory Pattern Classifiers with Two-Category Classifier Design Procedures

Authors:
F. W. Smith
Affiliations:
-
Venue:
IEEE Transactions on Computers
Year:
1969

Citing 1
Cited 1

Pattern Classifier Design by Linear Programming

IEEE Transactions on Computers

Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning

Pattern Recognition

Quantified Score

Hi-index	14.98

Visualization

Abstract

This note derives a relationship between the weights of certain types of R-category linear pattern classifiers and the weights of R two-category linear pattern classifiers. With this relationship R-category classifiers can be designed with computer algorithms for two-category classifier design. Previously proposed R-category classifiers have had to be designed with special R-category classifier design aigorithms.