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Mode Extraction by Multivalue Morphology for Cluster Analysis

  • A. Sbihi
  • J.-G. Postaire
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Summary

The new statistical approach to unsupervised pattern classification, developed in this paper, consists to extending the multivalue morphological concepts to multidimensional functions in order to detect the modes of the underlying probability density function, particularly when no a priori information is available as to the number of clusters and their distribution.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1996

Authors and Affiliations

  • A. Sbihi
    • 1
  • J.-G. Postaire
    • 2
  1. 1.Morocco & „Centre d’Automatique“ of U.S.T.L.University of KenitraFrance
  2. 2.„Centre d’Automatique“University of Lille (U.S.T.L.)Villeneuve d’AscqFrance

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