• DocumentCode
    353795
  • Title

    Study of clustering validity based on fuzzy similarity

  • Author

    Jihong, Pei ; Xuan, Yang

  • Author_Institution
    Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2444
  • Abstract
    A clustering validation method based on fuzzy similarity is presented, which is characterized by its distinct concept, low computing cost, and good robustness. Finally, two experiments have been carried out with satisfactory results
  • Keywords
    fuzzy set theory; pattern clustering; clustering validity; fuzzy similarity; low computing cost; robustness; Clustering algorithms; Costs; Fuzzy sets; Fuzzy systems; Partitioning algorithms; Prototypes; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.862479
  • Filename
    862479
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=353795