Conditional Fuzzy C-Means

  • Authors:
  • Witold Pedrycz

  • Affiliations:
  • -

  • Venue:
  • Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
  • Year:
  • 1996

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Abstract

A Fuzzy C-Means-based clustering method guided by an auxiliary (conditional) variable is introduced. The method reveals a structure within a family of patterns by considering their vicinity in a feature space along with the similarity of the values assumed by a certain conditional variable. The usefulness of the algorithm is exemplified in the problems of data mining.