• DocumentCode
    3025633
  • Title

    Implementation of Clustering Algorithm Using Artificial Immune System

  • Author

    Lan, Li ; Qiao-Mei, Rong

  • Author_Institution
    Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    275
  • Lastpage
    278
  • Abstract
    In this paper, a clustering algorithm based on the immune mechanism of the capture of antigen by the antibody has been presented. The datum to be clustered are viewed as antigens,and the cluster centers are viewed as the antibodies in the immune system. The clustering is effectively the process in which the immune system constantly generates antibodies for the recognition of the antigens and finally generates the optimal antibodies for the capture of the antigens. The experimental results show that the algorithm can successfully be applied to the data clustering.
  • Keywords
    artificial immune systems; pattern clustering; antigens; artificial immune system; cluster centers; clustering algorithm; immune mechanism; optimal antibodies; Artificial immune systems; Artificial intelligence; Clustering algorithms; Competitive intelligence; Educational institutions; Genetic algorithms; Humans; Immune system; Learning; Partitioning algorithms; Artificial Immune System; Artificial Intelligence; Clustering Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications, 2009 First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3604-0
  • Type

    conf

  • DOI
    10.1109/DBTA.2009.165
  • Filename
    5207763