A ROBUST ALGORITHM FOR SOLUTION OF THE FUZZY CLUSTERING PROBLEM ON THE BASIS OF THE FUZZY JOINT POINTS METHOD

Nasibov E.

CYBERNETICS AND SYSTEMS ANALYSIS, cilt.44, sa.1, ss.7-17, 2008 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 44 Sayı: 1
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1007/s10559-008-0002-0
  • Dergi Adı: CYBERNETICS AND SYSTEMS ANALYSIS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.7-17
  • Anahtar Kelimeler: clustering, fuzzy joint points (FJP), fuzzy joint set, robustness
  • Dokuz Eylül Üniversitesi Adresli: Hayır

Özet

The approach called the method of Fuzzy Joint Points (FJP) is considered in which the fuzziness of clusterization lies in the detailedness of taking into account properties of elements in forming sets of similar elements. Based on this approach, a new robust variant of the FJP algorithm is proposed. The properties of this FJP algorithm are analyzed and a sufficient condition for the correct recognition of the hidden structure of clusters is proved.