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The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation

Summary: A-tree introduces Virtual Bounding Rectangles (VBRs) to compactly approximate MBRs and data for high-dimensional similarity search. High fanout with MBR–VBR entries yields fast search and pruning; on real data up to 64D it saves ~77% page accesses vs SR-tree and ~78% vs VA-File. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8867
Venue
VLDB
Year
2000
Pagerank
9.7769047e-05
Overall Rank
1,778 | 87.81%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sakurai_vldb00,
        title = {{The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation}},
        author = {Sakurai, Yasushi and Yoshikawa, Masatoshi and Uemura, Shunsuke and Kojima, Haruhiko},
        journal = {PVLDB},
        series = {{VLDB} '00},
        pages = {516},
        year = {2000}
}

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