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Feature subset selection using a genetic algorithm

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2 Author(s)
J. Yang ; Iowa State Univ., Ames, IA, USA ; V. Honavar

Practical pattern-classification and knowledge-discovery problems require the selection of a subset of attributes or features to represent the patterns to be classified. The authors' approach uses a genetic algorithm to select such subsets, achieving multicriteria optimization in terms of generalization accuracy and costs associated with the features

Published in:

IEEE Intelligent Systems and their Applications  (Volume:13 ,  Issue: 2 )