Title :
Spatial Clustering Method Based on Cloud Model
Author :
Wang, Haijun ; Deng, Yu
Author_Institution :
Wuhan Univ., Wuhan
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 a spatial clustering method based on cloud model, which can be widely applied to the research on classification and hierarchy in realm of spatial data mining and knowledge discovery. The implementation procedure of this method is advanced, and the feasibility of this method is proven through experiments effectively.
Keywords :
data mining; pattern clustering; visual databases; cloud model; knowledge discovery; spatial clustering method; spatial data mining; Clouds; Clustering methods; Data mining; Entropy; Fluctuations; Frequency shift keying; Frequency synthesizers; Gaussian distribution; Helium; Uncertainty;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.526
