• DocumentCode
    2486543
  • Title

    MK-means - Modified K-means clustering algorithm

  • Author

    Dashti, Hesam T. ; Simas, Tiago ; Ribeiro, Rita A. ; Assadi, Amir ; Moitinho, Andre

  • Author_Institution
    Univ. of Wisconsin, Madison, WI, USA
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper discusses a density based clustering approach for a guided kernel based clustering algorithm, named MK-means (Modified K-means). Our idea is to improve the guided K-Means clustering algorithm and discuss the benefits of using MK-Means algorithm for clustering algorithm in astrophysics data bases. The improvements made allow handling clustering without apriori knowledge and also include the flexibility of merging classes when similarities are detected.
  • Keywords
    astronomy computing; pattern clustering; astrophysics data bases; density based clustering approach; guided kernel based clustering algorithm; modified K-means clustering algorithm; Color; Indexes; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596300
  • Filename
    5596300
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2486543