Optimum feature selection by zero-one integer programming

1 September 1984

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics

Vol. SMC-14 (5), 737-746
https://doi.org/10.1109/TSMC.1984.6313294

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 effectiveness of the approach.

Keywords

SUPPORT VECTOR MACHINE CLASSIFICATION
VECTORS
TRAINING
NICKEL
LINEAR PROGRAMMING
TUMORS
CYBERNETICS

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