Mining Knowledge from Result Comparison Between Spatial Clustering Themes

作     者：SHAZongyao BIANFuling 

作者机构：不详 Ph.DSchoolofInternationalSoftwareWuhanUniversity129LuoyuRoadWuhan430079China. 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2005年第8卷第1期

页      面：57-63页

核心收录：

学科分类：081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 070503[理学-地图学与地理信息系统] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 

主　　题：GIS knowledge mining spatial clustering themes spatial informationrepresentation algorithms 

摘      要：This paper introduces some definitions and defines a set of calculating indexes to facilitate the research, and then presents an algorithm to complete the spatial clustering result comparison between different clustering themes. The research shows that some valuable spatial correlation patterns can be further found from the clustering result comparison with multi-themes, based on traditional spatial clustering as the first step. Those patterns can tell us what relations those themes have, and thus will help us have a deeper understanding of the studied spatial entities. An example is also given to demonstrate the principle and process of the method.