• DocumentCode
    678497
  • Title

    Enhanced ant clustering algorithm (EACA) for distributed databases

  • Author

    Sumangala, K.

  • Author_Institution
    Dept. of Comput. Sci., Kongunadu Arts & Sci. Coll., Coimbatore, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an enhanced version of the Probabilistic Ant based Clustering Algorithm for Distributed Databases (PACE). The most important feature of this algorithm is to introduce ant based algorithm for inter zone clustering instead of agglomeration algorithm. Its performance is compared with PACE and K-means algorithm.
  • Keywords
    distributed databases; pattern clustering; probability; EACA; PACE; distributed databases; enhanced ant clustering algorithm; inter zone clustering; probabilistic ant based clustering algorithm; Algorithm design and analysis; Clustering algorithms; Distributed databases; Iris recognition; Probabilistic logic; Sorting; EACA; ant clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726558
  • Filename
    6726558
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=678497