• DocumentCode
    342603
  • Title

    Evolutionary search based fuzzy self-organizing clustering

  • Author

    Yao, Susu

  • Author_Institution
    Tongyuan Univ., Nanjing, China
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Abstract
    This paper presents a hybrid method of fuzzy clustering using evolutionary search and self-organization, which has the advantages of both. Simulation experiments have shown that the convergence speed of the proposed method is faster than that of pure evolutionary algorithm
  • Keywords
    convergence of numerical methods; evolutionary computation; fuzzy set theory; pattern clustering; search problems; unsupervised learning; convergence; evolutionary search; fuzzy clustering; fuzzy self-organizing clustering; self-organization; unsupervised clustering; Clustering algorithms; Clustering methods; Convergence; Electronic mail; Evolutionary computation; Fuzzy sets; Genetic algorithms; Shape; Stochastic processes; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-5536-9
  • Type

    conf

  • DOI
    10.1109/CEC.1999.781924
  • Filename
    781924
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=342603