• DocumentCode
    2313880
  • Title

    Improved algorithm for the k-means clustering

  • Author

    Zhang, Sheng ; Wang, Shouqiang

  • Author_Institution
    Sch. of Inf. Sci. & Electr. Eng., Shandong Jiaotong Univ., Jinan, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    4717
  • Lastpage
    4720
  • Abstract
    This paper investigates the standard k-means clustering and gives an improved algorithm based on selecting the initial centers and overcoming the local minimal values. Experiments show that the new algorithm is more effective and can get a better result than the standard k-means clustering.
  • Keywords
    pattern clustering; improved algorithm; initial center selection; local minimal values; standard k-means clustering; Approximation methods; Clustering algorithms; Educational institutions; Electrical engineering; Information science; Lead; Standards; clustering; clustering center; k-means;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6359372
  • Filename
    6359372
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2313880