A Stochastic Approach to Wilson’s Editing Algorithm

  • Fernando Vázquez
  • J. Salvador Sánchez
  • Filiberto Pla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3523)

Abstract

Two extensions of the original Wilson’s editing method are introduced in this paper. These new algorithms are based on estimating probabilities from the k-nearest neighbor patterns of an instance, in order to obtain more compact edited sets while maintaining the classification rate. Several experiments with synthetic and real data sets are carried out to illustrate the behavior of the algorithms proposed here and compare their performance with that of other traditional techniques.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Fernando Vázquez
    • 1
  • J. Salvador Sánchez
    • 2
  • Filiberto Pla
    • 2
  1. 1.Dept de Ciencia de la ComputaciónUniversidad de OrienteSantiago de CubaCuba
  2. 2.Dept. Lenguajes y Sistemas InformáticosUniversitat Jaume ICastellónSpain

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