机构

• 遥感与数字地球研究所 [1]

采集方式

• OAI收割 [1]

内容类型

• 会议论文 [1]

发表日期

• 2008 [1]

学科主题

筛选

浏览/检索结果: 共1条，第1-1条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A novel spatial clustering algorithm based on Delaunay triangulation 会议论文  OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Yang, Xiankun; Cui, Weihong 收藏  |  浏览/下载：21/0  |  提交时间：2014/12/07 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.