• DocumentCode
    1721848
  • Title

    Fax clustering algorithm based on adaptive ant colony optimize

  • Author

    Hongtao, Yu ; Qing, Li ; Ying, Hou

  • Author_Institution
    Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
  • Volume
    3
  • fYear
    2010
  • Abstract
    The fax clustering is that the same or similar faxes will be clustered into one group in mass faxes. In order to improve accuracy of clustering, a fax clustering algorithm based on adaptive ant colony optimization was proposed in this paper. The algorithm simulates ant feeding theory, and improves the coefficient of pheromone updating, and avoids falling into local optimum. The experimental results show that the algorithm has good robustness. The effect of clustering is improved obviously.
  • Keywords
    optimisation; pattern clustering; adaptive ant colony optimize; ant feeding theory; fax clustering algorithm; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Facsimile; Heuristic algorithms; Robustness; Signal processing algorithms; ants colony; fax clustering; pheromone; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555784
  • Filename
    5555784