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借助Delaunay三角网构建空间邻近关系的优势,通过施加不同层次、不同类型的约束,提出一种空间聚类的新方法。通过试验分析与比较发现,该算法可以探测复杂结构的空间簇,对噪声点稳健,并且能够同时顾及实体间空间位置与专题属性的相似性。 更多还原

【Abstract】 A novel spatial clustering method based on multiple constraints is proposed.To implement this method,Delaunay triangulation is firstly employed to determine the spatial proximate relationships among entities,and then multi-levels constraints are utilized to discover clusters in the spatial database.The presented algorithm is tested on both simulated and practical spatial databases. 更多还原