A Comparison between Two Fuzzy Clustering Algorithms for Mixed Features

  • Irene Olaya Ayaquica-Martínez
  • José F. Martínez-Trinidad
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)


In this paper, a comparative analysis of the mixed-type variable fuzzy c-means (MVFCM) and the fuzzy c-means using dissimilarity functions (FCMD) algorithms is presented. Our analysis is focused in the dissimilarity function and the way of calculating the centers (or representative objects) in both algorithms.


Cluster Center Membership Degree Comparison Criterion Representative Object Mixed Feature 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Irene Olaya Ayaquica-Martínez
    • 1
  • José F. Martínez-Trinidad
    • 1
  1. 1.Instituto Nacional de Astrofísica, Óptica y ElectrónicaSanta María TonantzintlaMéxico

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