What's Wrong with High-Dimensional Similarity Search?
Summary: Revisits the result that exact nearest-neighbor search becomes intrinsically linear in high dimensions, defeating hierarchical indexes. Highlights VA-File’s approximate, scan-based acceleration and the work’s broader lessons. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Stephen Blott (Dublin City University)
- 2. Roger Weber (Credit Suisse)
BibTeX Citation
@article{blott_vldb08,
title = {{What's Wrong with High-Dimensional Similarity Search?}},
author = {Blott, Stephen and Weber, Roger},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {3--3},
doi = {10.14778/1453856.1453857},
url = {https://doi.org/10.14778/1453856.1453857},
year = {2008}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 46 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB | 0.00044853085 |
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