Exploitation of Multivalued Type Proximity for Symbolic Feature Selection

  • Authors:
  • Bapu B. Kiranagi;D. S. Guru;Manabu Ichino

  • Affiliations:
  • University of Mysore, India;University of Mysore, India;Tokyo Denki University, Japan

  • Venue:
  • ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
  • Year:
  • 2007

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Abstract

In this paper, a simple and efficient feature selection scheme for symbolic data is proposed. The proposed scheme exploits the symbolic multivalued proximity measures for feature selection. The effectiveness of the proposed scheme has been demonstrated through experiments on standard symbolic data sets.