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Research of Reverse Nearest Neighbor Query Technology in Spatial Objects

机译:空间对象反向最近邻查询技术的研究

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In the past, the query based on R tree index structure, in the case of high-dimensional, the speed of the query decline sharply, a "dimensi on disaster", in this paper a new index structure-VAR tree is proposed, and the algorithm of anti-nearest neighbor and nearest neighbor queries based on the index structure is proposed, in order to enhance the query efficiency of the reverse nearest neighbor queries in high-dimensional space.
机译:在过去,基于R树索引结构的查询,在高维的情况下,查询速度急剧下降急剧下降,在本文中提出了一个新的索引结构 - var树,并且提出了基于索引结构的抗最接近邻居和最近邻查验的算法,以增强高维空间中的反向最近邻查询的查询效率。

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