• DocumentCode
    2911435
  • Title

    A New Method for Non-spherical and Multi-density Clustering

  • Author

    Yang, Xiaobing ; He, Lingmin ; Lu, Huijuan

  • Author_Institution
    Comput. Sci. Dept., China Jiliang Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    35
  • Lastpage
    38
  • Abstract
    Cluster analysis based on Delaunay diagrams has been widely researched in all kinds of fields. In this article, a new method is proposed to treat with datasets of non-spherical and multi-density clustering. As well as, the problem of noise data is solved by defining the conceptions of In_Points and Out_Points in this method. The above points was illustrated by two simulation experiments.
  • Keywords
    mesh generation; noise; pattern clustering; Delaunay diagrams; In_Points conception; Out_Points conception; multidensity clustering; noise data problem; nonspherical clustering; Algorithm design and analysis; Application software; Clustering algorithms; Clustering methods; Computer science; Helium; Information analysis; Information technology; Multi-stage noise shaping; Shape; Delaunay Diagrams; IPOP algorithm; cluster analysis; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.376
  • Filename
    5369083