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2011

Fully dynamic metric access methods based on hyperplane partitioning

9 years 8 months ago
Fully dynamic metric access methods based on hyperplane partitioning
Metric access methods based on hyperplane partitioning have the advantage, compared to the ballpartitioning-based ones, that regions do not overlap. The price is less flexibility for controlling the tree shape, especially in the dynamic scenario, that is, upon insertions and deletions of objects. In this paper we introduce a technique called ghost hyperplanes, which enables fully dynamic data structures based on hyperplane partitioning. We apply the technique to Brin’s GNAT static index, obtaining a dynamic variant called EGNAT, which in addition we adapt to secondary memory. We show experimentally that the EGNAT is competitive with the M-tree, the baseline for this scenario. We also apply the ghost hyperplane technique to Voronoi trees, obtaining a competitive dynamic structure for main memory.
Gonzalo Navarro, Roberto Uribe Paredes
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2011
Where IS
Authors Gonzalo Navarro, Roberto Uribe Paredes
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