计算机工程与应用2011，Vol.47Issue(13)：166-168,3.DOI:10.3778/j.issn.1002-8331.2011.13.047
一种面向扩展空间对象的密度聚类算法
Density-based clustering algorithm for extended spatial objects.
黎韶光 1周巨锁 2谢玉波 3陈琦4
作者信息
- 1. 国土资源部,信息中心,北京,100812
- 2. 中国海洋大学,海洋地球科学学院,山东,青岛,266003
- 3. 国家海洋局,南海工程勘察中心,广州,510300
- 4. 武汉大学,测绘遥感信息工程国家重点实验室,武汉,430079
- 折叠
摘要
Abstract
A density-based clustering algorithm for extended spatial objects is proposed to cluster extended objects such as points,polylines and polygons.In the algorithm, buffers of extended objects such as points,polylines and polygons are created to compute the density around spatial objects in an efficient way.Two scenarios which can be managed by parameters are presented according to the requirements of the applications.In the case study,the proposed method demonstrates good quality.关键词
空间聚类/扩展空间对象/缓冲区Key words
spatial clustering/extended spatial objects/buffer分类
信息技术与安全科学引用本文复制引用
黎韶光,周巨锁,谢玉波,陈琦..一种面向扩展空间对象的密度聚类算法[J].计算机工程与应用,2011,47(13):166-168,3.
