Spatial clustering method based on three-dimensional cloud model

Haijun Wang; Li Wang; Yu Deng; Jia Liu

doi:10.1117/12.815699

29 December 2008 Spatial clustering method based on three-dimensional cloud model

Haijun Wang, Li Wang, Yu Deng, Jia Liu

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853D (2008) https://doi.org/10.1117/12.815699
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

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.

Citation Download Citation

Haijun Wang, Li Wang, Yu Deng, and Jia Liu "Spatial clustering method based on three-dimensional cloud model", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853D (29 December 2008); https://doi.org/10.1117/12.815699

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