Search for: [Abstract = "In this paper an approach to dimensionality reduction based on differential evolution which represents a wrapper and explores the solution space is presented. The solutions, subsets of the whole feature set, are evaluated using the k\-nearest neighbour algorithm. High quality solutions found during execution of the differential evolution fill the archive. A final solution is obtained by conducting k\-fold cross\-validation on the archive solutions and selecting the best one. Experimental analysis is conducted on several standard test sets."]

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