Genetic algorithm for feature selection for parallel classifiers
Information Processing LettersPublished 1 June 1993
Ludmila I. Kuncheva
Citations36
SJR quartileQ3
SJR score0.41
SNIP0.73
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TL;DR
A genetic algorithm with a properly modified fitness function is used and a combination of feature subsets serving as inputs for a parallel classifier is described.
Abstract
A way to select a combination of feature subsets serving as inputs for a parallel classifier is described. A genetic algorithm with a properly modified fitness function is used. Experimental results with three sets of real data from internal, neonatal and aviation medicine are reported.
Keywords
Computer Science
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