• DocumentCode
    1928700
  • Title

    ICAIS: A Novel Incremental Clustering Algorithm Based on Artificial Immune Systems

  • Author

    Li, Xianghua ; Lu, Tianyang ; Wang, Zhengxuan ; Gao, Chao

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun
  • fYear
    2008
  • fDate
    28-29 Jan. 2008
  • Firstpage
    85
  • Lastpage
    90
  • Abstract
    Although many kinds of clustering algorithms are proposed, there has been much less work on the incremental clustering. Inspired by the artificial immune systems, the authors apply it to the incremental clustering, propose a novel incremental clustering algorithm called ICAIS. The algorithm mainly uses the mechanism of immune response of the adaptive immune system. The primary immune response corresponds to forming the new clusters. The secondary immune response corresponds to recognizing the data belonging to the existed clusters. The experiments show that ICAIS has advantages in recognizing new pattern, the effect is better.
  • Keywords
    artificial immune systems; data mining; pattern clustering; ICAIS; artificial immune systems; immune response; incremental clustering algorithm; Adaptive systems; Artificial immune systems; Biology computing; Cells (biology); Clustering algorithms; Computer science; Data analysis; Data mining; Immune system; Partitioning algorithms; artificial immune system; incremental clustering; primary immune response; secondary immune response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3112-0
  • Electronic_ISBN
    978-0-7695-3112-0
  • Type

    conf

  • DOI
    10.1109/ICICSE.2008.13
  • Filename
    4548239