A Fuzzy Clustering Model of Data and Fuzzy c-Means

نویسندگان

  • S. Nascimento
  • B. Mirkin
چکیده

The Multiple Prototype Fuzzy Clustering Model (FCMP), introduced by Nascimento, Mirkin and Moura-Pires (1999), proposes a framework for partitional fuzzy clustering which suggests a model of how the data are generated from a cluster structure to be identi...ed. In the model, it is assumed that the membership of each entity to a cluster expresses a part of the cluster prototype re‡ected in the entity. In this paper we extend the FCMP framework to a number of clustering criteria, and study the FCMP properties on ...tting the underlying proposed model from which data is generated. A comparative study with the Fuzzy c-Means algorithm is also presented.

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تاریخ انتشار 2002