Generalized fuzzy c-means clustering strategies using Lp norm distances

  • Authors:
  • R. J. Hathaway;J. C. Bezdek;Yingkang Hu

  • Affiliations:
  • Dept. of Math. & Comput. Sci., Georgia Southern Univ., Statesboro, GA;-;-

  • Venue:
  • IEEE Transactions on Fuzzy Systems
  • Year:
  • 2000

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Abstract

Fuzzy c-means (FCM) is a useful clustering technique. Modifications of FCM using L1 norm distances increase robustness to outliers. Object and relational data versions of FCM clustering are defined for the more general case where the Lp norm (p⩾1) or semi-norm (00 in order to facilitate the empirical examination of the object data models. Both object and relational approaches are included in a numerical study