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	A novel spatial clustering algorithm based on Delaunay triangulation
	Yang, Xiankun ; Cui, Weihong
	2008
会议名称	International Conference on Earth Observation Data Processing and Analysis, ICEODPA,
会议日期	December 28, 2008 - December 30,2008
会议地点	Wuhan, China
关键词	Exploratory data analysis is increasingly more necessary as larger spatial data is managed in electro-magnetic media. Spatial clustering is one of the very important spatial data mining techniques. So far a lot of spatial clustering algorithms have been proposed. In this paper we propose a robust spatial clustering algorithm named SCABDT (Spatial Clustering Algorithm Based on Delaunay Triangulation). SCABDT demonstrates important advantages over the previous works. First it discovers even arbitrary shape of cluster distribution. Second in order to execute SCABDT we do not need to know any priori nature of distribution. Third like DBSCAN Experiments show that SCABDT does not require so much CPU processing time. Finally it handles efficiently outliers. 2008 SPIE.
页码	Clustering algorithms;Cluster analysis;Data mining;Data processing;Information management;Observatories;Triangulation
收录类别	EI
会议录出版者	SPIE
ISSN号	0277786X
内容类型	会议论文
源URL	[http://ir.ceode.ac.cn/handle/183411/30765]
专题	遥感与数字地球研究所_EI会议论文_会议论文
推荐引用方式 GB/T 7714	Yang, Xiankun,Cui, Weihong. A novel spatial clustering algorithm based on Delaunay triangulation[C]. 见:International Conference on Earth Observation Data Processing and Analysis, ICEODPA,. Wuhan, China. December 28, 2008 - December 30,2008.

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