• DocumentCode
    477799
  • Title

    A Vibrating Method Based Cluster Reducing Strategy

  • Author

    Hsu, Daniel ; Johnson, Shardrom

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    376
  • Lastpage
    379
  • Abstract
    Clustering is the hot spot in the study of data mining. This paper proposed a cluster reducing strategy based on so called "vibrating method". The "vibrating method" synthesizes the merits of the "distance based method" and the "density based method" of traditional clustering algorithm. It first finds out the "core" of each cluster and then "vibrating" cores to lower the difference between the clusters and tight the relationship among the clusters. Therefore, it can be used as a cluster reducing strategy to reduce or compose the clusters after clustering.
  • Keywords
    data mining; cluster reducing strategy; data mining; density based method; distance based method; vibrating method; Clustering algorithms; Clustering methods; Data engineering; Data mining; Data warehouses; Fuzzy systems; Knowledge engineering; Noise shaping; Organizing; Shape; core based; reducing strategy; vibrating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.425
  • Filename
    4666142