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Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data

Summary: Proposes Epsilon Grid Order, a scalable similarity-join for massive high-dimensional data using an equi-distant grid-order. Achieves memory efficiency with external sorting and a join-phase schedule, beating MSJ and epsilon-kdB-tree on large datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3284
Venue
SIGMOD
Year
2001
Pagerank
9.1077704e-05
Overall Rank
2,281 | 84.14%
DOI
-

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