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Journal of Geographical Sciences

, Volume 20, Issue 5, pp 787–798 | Cite as

General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong

  • Yu Deng
  • Shenghe Liu
  • Wenting Zhang
  • Li Wang
  • Jianghao Wang
Article

Abstract

Traditional spatial clustering methods have the disadvantage of “hardware division“, and can not describe the physical characteristics of spatial entity effectively. In view of the above, this paper sets forth a general multi-dimensional cloud model, which describes the characteristics of spatial objects more reasonably according to the idea of non-homogeneous and non-symmetry. Based on infrastructures’ classification and demarcation in Zhanjiang, a detailed interpretation of clustering results is made from the spatial distribution of membership degree of clustering, the comparative study of Fuzzy C-means and a coupled analysis of residential land prices. General multi-dimensional cloud model reflects the integrated characteristics of spatial objects better, reveals the spatial distribution of potential information, and realizes spatial division more accurately in complex circumstances. However, due to the complexity of spatial interactions between geographical entities, the generation of cloud model is a specific and challenging task.

Keywords

multi-dimensional cloud spatial clustering data mining membership degree Zhanjiang 

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Copyright information

© Science in China Press and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yu Deng
    • 1
    • 4
  • Shenghe Liu
    • 1
  • Wenting Zhang
    • 2
  • Li Wang
    • 3
    • 4
  • Jianghao Wang
    • 1
    • 4
  1. 1.Institute of Geographic Sciences and Natural Resources ResearchCASBeijingChina
  2. 2.School of Resources and Environment ScienceWuhan UniversityWuhanChina
  3. 3.Institute of Policy and ManagementCASBeijingChina
  4. 4.Graduate University of Chinese Academy of SciencesBeijingChina

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