General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong
文献类型:SCI/SSCI论文
作者 | Deng Y. ; Liu S. H. ; Zhang W. T. ; Wang L. ; Wang J. H. |
发表日期 | 2010 |
关键词 | multi-dimensional cloud spatial clustering data mining membership degree Zhanjiang |
英文摘要 | 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 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. |
出处 | Journal of Geographical Sciences |
卷 | 20 |
期 | 5 |
页 | 787-798 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1009-637X |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24137] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Deng Y.,Liu S. H.,Zhang W. T.,et al. General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong. 2010. |
入库方式: OAI收割
来源:地理科学与资源研究所
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