• DocumentCode
    526718
  • Title

    Swarm intelligent optimization algorithm for text clustering

  • Author

    Peng Hong ; Wang Cong ; Guan Xin

  • Author_Institution
    Faulty of Electr. & Control Eng., Liaoning Tech. Univ., Huludao, China
  • Volume
    5
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    This paper presents the text clustering algorithm of the cluster intelligent optimization that uses cluster intelligent optimization algorithms to find the initial focal point to resolve the input sequences of fuzzy clustering and the initial point of sensitive issues; and use the improved fuzzy clustering algorithm to eliminate the sample text is not balance and refine clustering results. The experimental results show that the algorithm in the test data set obtained clustering results even better.
  • Keywords
    fuzzy set theory; particle swarm optimisation; pattern clustering; statistical analysis; text analysis; focal point; fuzzy clustering algorithm; swarm intelligent optimization algorithm; text clustering; cluster intelligence; fuzzy clustering; text clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565020
  • Filename
    5565020