Near Neighbor Search in Large Metric Spaces
Summary: Introduces GNAT, a geometric, hierarchical index for approximate nearest-neighbor search in high-dimensional metric spaces with costly distance evaluations. Unlike decomposition-based structures, it models intrinsic data geometry and outperforms prior methods experimentally. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sergey Brin (Stanford University)
BibTeX Citation
@article{brin_vldb95,
title = {{Near Neighbor Search in Large Metric Spaces}},
author = {Brin, Sergey},
journal = {PVLDB},
series = {{VLDB} '95},
pages = {574},
year = {1995}
}
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