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Similarity Search: A Matching Based Approach

Summary: Proposes k-n-match, a similarity search selecting n<d dimensions to maximize query-object matches and reveal partial similarities. Frequent k-n-match aggregates results over n-ranges; disk-based processing enabled, with experiments showing gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9477
Venue
VLDB
Year
2006
Pagerank
5.1733919e-05
Overall Rank
6,164 | 57.12%
DOI
-

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