• DocumentCode
    507788
  • Title

    Immune Population Network Algorithm and Its Application in Fuzzy Clustering Analysis

  • Author

    Hao, Wei ; Hao, Jiangong

  • Author_Institution
    Coll. of Comput. Sci. & Software, Taiyuan Univ. of Technol., Taiyuan, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    Based on the biological immune system, we propose a new immune population network algorithm which combines population immune algorithm and network immune algorithm in this paper. This algorithm can improve the capability of keeping population diversity of immune system. Then, we apply this algorithm to optimize the parameters of fuzzy clustering analysis (FCM). At last, the simulation results show that the algorithm will increase the possibility of FCM to find the globally optimal solutions.
  • Keywords
    fuzzy set theory; pattern clustering; biological immune system; fuzzy clustering analysis; immune population network algorithm; population network; Algorithm design and analysis; Biology computing; Clustering algorithms; Clustering methods; Data analysis; Data mining; Databases; Fuzzy logic; Immune system; Software algorithms; Artificial immune; Data mining; Fuzzy clustering analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.171
  • Filename
    5363055
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=507788