A new approach to the problem of clustering using the fuzzy joint points method

NASİBOĞLU E., Ulutagay G.

Automatic Control and Computer Sciences, cilt.39, sa.6, ss.8-17, 2005 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 6
  • Basım Tarihi: 2005
  • Dergi Adı: Automatic Control and Computer Sciences
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.8-17
  • Anahtar Kelimeler: Fuzzy clustering, Fuzzy conical point, Fuzzy joint points (FJP), Fuzzy joint set
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

A new hierarchical approach to the problem of clustering, called the Fuzzy Joint Point, FJP) method is proposed. In the FJP method each element of the clusterized set is considered a fuzzy point of a multidimensional space. The concepts of a fuzzy conical point, fuzzy α-neighborhood, and fuzzy α-joint points are introduced and studies of certain properties relative to these concepts are carried out. The proposed algorithm of the FJP method may be used as a preparatory stage of the Fuzzy c-Means (FCM) algorithm for determining the initial classes and their dimensions and also as an independent clustering algorithm. © 2006 by Allerton Press, Inc.