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On feature selection via rough sets

  • Ludmila I. Kuncheva
  • Roumen K. Kounchev
Posters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)

Abstract

The paper presents a critical comment on the rough sets approach to feature selection. It is highlighted that the small sample size may lead to spurious results in evaluating the feature subsets. Along with this, some attractive advantages of rough sets criteria are emphasized, and a new criterion is proposed. Two examples have been generated in order to demonstrate the flexibility of the proposed criterion and its advantages over some conventional criteria.

Keywords

Pattern recognition Rough sets Feature selection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Ludmila I. Kuncheva
    • 1
  • Roumen K. Kounchev
    • 2
  1. 1.Department of Biomedical EngineeringBulgarian Academy of SciencesSofiaBulgaria
  2. 2.Institute for Information TechnologiesBulgarian Academy of SciencesSofiaBulgaria

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