空间填充曲线聚类特性的最优性研究

Pan Xu, S. Tirthapura
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引用次数: 18

摘要

空间填充曲线一直被用于多维数据的数据结构设计。空间填充曲线的基本质量度量是它相对于一类查询的“聚类数”,这是查询区域可以划分的空间填充曲线上连续段的平均数量。我们给出了一类一般空间填充曲线的聚类数的刻画,以及任何空间填充曲线的聚类数的第一个非平凡下界。我们的结果也回答了Jagadish在1997年提出的一个开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the optimality of clustering properties of space filling curves
Space filling curves have for long been used in the design of data structures for multidimensional data. A fundamental quality metric of a space filling curve is its "clustering number" with respect to a class of queries, which is the average number of contiguous segments on the space filling curve that a query region can be partitioned into. We present a characterization of the clustering number of a general class of space filling curves, as well as the first non-trivial lower bounds on the clustering number for any space filling curve. Our results also answer an open problem that was posed by Jagadish in 1997.
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CiteScore
4.40
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