Diagnose effective evolutionary prototype selection using an overlapping measure

Salvador García, José Ramón Cano, Ester BernadÓ-Mansilla, Francisco Herrera

    Producció científica: Article en revista indexadaArticleAvaluat per experts

    19 Cites (Scopus)


    Evolutionary prototype selection has shown its effectiveness in the past in the prototype selection domain. It improves in most of the cases the results offered by classical prototype selection algorithms but its computational cost is expensive. In this paper, we analyze the behavior of the evolutionary prototype selection strategy, considering a complexity measure for classification problems based on overlapping. In addition, we have analyzed different k values for the nearest neighbour classifier in this domain of study to see its influence on the results of PS methods. The objective consists of predicting when the evolutionary prototype selection is effective for a particular problem, based on this overlapping measure.

    Idioma originalAnglès
    Pàgines (de-a)1527-1548
    Nombre de pàgines22
    RevistaInternational Journal of Pattern Recognition and Artificial Intelligence
    Estat de la publicacióPublicada - de des. 2009


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