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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