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Optimum feature selection by zero-one integer programming

Published in IEEE Transactions on Systems Man and Cybernetics • Sep 1, 1984
NobleIDNI8P62W25R51S87
Authors:
Manabu Ichino
,
Jack Sklansky

Abstract

An optimal method for finding a minimum feature subset based on box classifiers is described. Feature selection is represented as a problem of zero-one integer programming. An implicit enumeration method is developed in order to solve this problem. Numerical examples are presented to illustrate the ...

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