• DocumentCode
    2580766
  • Title

    Visualizing the Result of Fuzzy Clustering Using GIS

  • Author

    Tan, JingDong ; Wang, Rujing ; Sun, Bingyu

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    267
  • Lastpage
    271
  • Abstract
    Visualizing the result of clustering is an important part of pattern recognition research. A novel method of visualizing the result of fuzzy clustering base on GIS is proposed, which doesnpsilat involve dimensionality reduction so that the key features are not missed. The experiment on real dataset shows its effectiveness.
  • Keywords
    data mining; geographic information systems; pattern recognition; visual databases; dimensionality reduction; fuzzy clustering; geographic information system; pattern recognition; spatial data; visualizing; Automation; Clustering algorithms; Data analysis; Data mining; Data visualization; Geographic Information Systems; Geometry; Machine intelligence; Pattern recognition; Sun; GIS; dimensionality reduction; fuzzy clustering; spatial data; visualizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.12
  • Filename
    4771928