Suboptimum Linear Feature Selection in Multiclass Problem

Manabu Ichino; Keiji Hiramatsu

doi:10.1109/tsmc.1974.5408517

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Suboptimum Linear Feature Selection in Multiclass Problem

Manabu Ichino Keiji Hiramatsu

Year: 1974 Journal: IEEE Transactions on Systems Man and Cybernetics Vol: SMC-4 (1)Pages: 28-33 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tsmc.1974.5408517

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Abstract

A suboptimum method of linear feature selection in multiclass problem is presented. The set of features is selected in sequential manner based on an upper bound on the probability of error. The proposed method is applied to a problem of classifying Japanese vowels. Computer simulation results are presented and discussed.

Keywords:

Feature selection Feature (linguistics) Selection (genetic algorithm) Set (abstract data type) Computer science Artificial intelligence Multiclass classification Pattern recognition (psychology) Class (philosophy) Algorithm Mathematics Mathematical optimization Support vector machine

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Suboptimum Linear Feature Selection in Multiclass Problem

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