• DocumentCode
    1944578
  • Title

    Voronoi-based Topological Information for Combining Partitioning and Hierarchical Clustering

  • Author

    Lee, Ickjai ; Yang, Jianhua

  • Author_Institution
    Sch. of Inf. Technol., James Cook Univ., Townsville, Qld.
  • Volume
    2
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    484
  • Lastpage
    489
  • Abstract
    Recently, hybrid clustering has attracted a great attention in the literature. This paper investigates a topology-based merge technique for combining partitioning and hierarchical clustering. The proposed merge technique enhances the efficiency of partitioning clustering while preserving the effectiveness of hierarchical clustering. It complements those clustering´s weaknesses and amplifies their strengths
  • Keywords
    computational complexity; computational geometry; merging; pattern clustering; topology; Voronoi diagram; hierarchical clustering; hybrid clustering; partitioning clustering; topology-based merge technique; Australia; Computational efficiency; Data analysis; Data mining; Decision making; Explosions; Information technology; Performance evaluation; Solid modeling; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631515
  • Filename
    1631515