• DocumentCode
    1971059
  • Title

    An ant-based algorithm for clustering

  • Author

    Elkamel, Akil ; Gzara, Mariem ; Jamoussi, Salma ; Ben-Abdallah, Hanêne

  • Author_Institution
    Inst. Super. d´´Inf. et de Math. de Monastir, Monastir
  • fYear
    2009
  • fDate
    10-13 May 2009
  • Firstpage
    76
  • Lastpage
    82
  • Abstract
    In this paper, we propose a new ant based clustering algorithm. The algorithm takes inspiration from the sound communication properties of real ants. Artificial ants communicate directly with each others in order to merge similar group of objects. The proposed algorithm was tested and evaluated. The obtained results are very encouraging in comparison with the famous k-means and some ant based clustering algorithms.
  • Keywords
    artificial life; pattern clustering; artificial ant-based clustering algorithm; object merging; Arithmetic; Cadaver; Clustering algorithms; Control systems; Insects; Laboratories; Machine learning algorithms; Multimedia computing; Multimedia systems; Robust control; Artificial ants; ant based algorithms; ants communication; clustering; k-means;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
  • Conference_Location
    Rabat
  • Print_ISBN
    978-1-4244-3807-5
  • Electronic_ISBN
    978-1-4244-3806-8
  • Type

    conf

  • DOI
    10.1109/AICCSA.2009.5069307
  • Filename
    5069307
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1971059