An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples

  • Authors:
  • R. Kumar;V. K. Jayaraman;B. D. Kulkarni

  • Affiliations:
  • Chemical Engineering Division, National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411 008, India;Chemical Engineering Division, National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411 008, India;Chemical Engineering Division, National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411 008, India

  • Venue:
  • Pattern Recognition
  • Year:
  • 2005

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Abstract

A hybrid technique involving symbolization of data to remove noise and use of conditional entropy minima to extract relevant and non-redundant features is proposed in conjunction with support vector machines to obtain more robust classification algorithm. The technique tested on three data sets shows improvements in classification efficiencies.