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Proceedings Paper

Spatial clustering method based on three-dimensional cloud model
Author(s): Haijun Wang; Li Wang; Yu Deng; Jia Liu
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Paper Abstract

Spatial clustering is one of those major methods applying to spatial data mining and knowledge discovery. The purpose of this paper is to set forth Spatial Clustering Method Based on Multidimensional Cloud Model, which can be widely applied to the research on classification and hierarchy in realm of spatial data mining and knowledge discovery. This paper summarizes all kinds of cloud model and analyzes the optimalizing form of spatial data−three-dimensional cloud model. The limitation which sets the weighing value subjectively in traditional way and propagation of error can be avoided. The implementation procedure of this method is advanced, and the feasibility of this method is proven through experiments effectively.

Paper Details

Date Published: 29 December 2008
PDF: 9 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853D (29 December 2008); doi: 10.1117/12.815699
Show Author Affiliations
Haijun Wang, Wuhan Univ. (China)
Li Wang, Institute of Policy and Management (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Yu Deng, Institute of Geographic Sciences and Natural Resources Research (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Jia Liu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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