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《Journal of Beijing Normal University(Natural Science)》 2006-04
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Lin Dongyun~(1)) Liu Huiping~(1,2,3))(1)School of Geography;2)State Key Laboratory of Remote Sensing Science;3)Key Laboratory for Remote Sensing of Environment and Digital Cities: Beijing Normal University,100875,Beijing,China)  
Spatial data mining is the most important method in finding the distribution of large amount of data.Using GIS is one of the essential way in spatial data mining.By using spatial clustering method,(54()325) point data of corporations in Haidian district,Beijing are analysised.First of all is to cluster it by positional distance,then to quantitate the attributes and cluster it by attribute distance.The distribution analysis of corporations is followed.The results indicate that the spatial clustering is an effective method in studying the distribution of large amount of point data.
【Fund】: 国家自然科学基金资助项目(40271035);; 国家“十五”科技攻关课题资助项目(2003BA808A16-6)
【CateGory Index】: TP311.13
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