• DocumentCode
    588926
  • Title

    K-means Algorithm Based on Cloud Computing

  • Author

    Yunfeng Xu ; Yan Zhang ; Rui Ma

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    363
  • Lastpage
    365
  • Abstract
    This paper realizes the K-Means clustering algorithm in the cloud computing. the MapReduce programming ideas are applied to text clustering in hadoop platform, and improve text clustering processing speed on the basis of ensuring the accuracy of clustering. Experiments prove that the cloud computing can significantly improve the clustering algorithm processing speed.
  • Keywords
    cloud computing; pattern clustering; text analysis; Hadoop platform; MapReduce programming ideas; cloud computing; k-means clustering algorithm; text clustering; Algorithm design and analysis; Cloud computing; Clustering algorithms; Computer architecture; Programming; Servers; Virtual machine monitors; Cloud Computing; Clustering; MapReduce;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.242
  • Filename
    6406015
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=588926