文章基本信息

标题：Mining knowledge from result comparison between spatial clustering themes
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作者：Sha Zongyao ; Bian Fuling
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2005
卷号：8
期号：1
页码：57-63
DOI：10.1007/BF02826994
出版社：Taylor and Francis Ltd
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.
关键词：GIS; knowledge mining; spatial clustering; themes; spatial information representation; algorithms