DocumentCode
468224
Title
Spatial Clustering Method Based on Cloud Model
Author
Wang, Haijun ; Deng, Yu
Author_Institution
Wuhan Univ., Wuhan
Volume
2
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
272
Lastpage
276
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.526
Filename
4406086
Link To Document