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General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong 被引量:3

General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong
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摘要 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 char- acteristics 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. 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 char- acteristics 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.
出处 《Journal of Geographical Sciences》 SCIE CSCD 2010年第5期787-798,共12页 地理学报(英文版)
基金 National Natural Science Foundation of China, N0.40971102 Knowledge Innovation Project of the Chinese Academy of Sciences, No. KZCX2-YW-322 Special Grant for Postgraduates' Scientific Innovation and So- cial Practice in 2008
关键词 multi-dimensional cloud spatial clustering data mining membership degree Zhanjiang multi-dimensional cloud spatial clustering data mining membership degree Zhanjiang
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