• DocumentCode
    538898
  • Title

    A Spatial Clustering Method by Means of Field Model to Organize Data

  • Author

    Lin Xiao-ping ; Mao Zheng-yuan ; Liu Jian-hua

  • Author_Institution
    Key Lab. of Spatial Data Min. & Inf. Sharing of Minist. of Educ., Fuzhou Univ., Fuzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    129
  • Lastpage
    131
  • Abstract
    Spatial clustering is frequently used in Spatial Data Mining. Spatial clustering methods in presently available literature have obvious limitations in solving spatial clustering problems. On the basis of comparing and analyzing the capability of each spatial clustering method, a new one based on field model is put forward according to the particularity of spatial clustering (complexity in cluster shape and multi-scale-property in cluster structure), so as to solve all kinds of problems of presently spatial clustering research which organizes data with object model and represents continuous space with discrete entities, and make it be adapted to representation of complicated spatial clustering structure.
  • Keywords
    data mining; pattern clustering; spatial data structures; data organisation; spatial clustering method; spatial data mining; Algorithm design and analysis; Clustering algorithms; Clustering methods; Data mining; Data models; Presses; Spatial databases; field model; geometric probability; spatial clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.279
  • Filename
    5708803