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Faster and Better Solution to Embed Lp Metrics by Tree Metrics

Summary: ELT: faster embedding of Lp metrics into tree metrics via HSTs, using a divide-and-conquer framework achieving O(log n) distortion. Key tricks: nearest-neighbor indexing and sampling to beat O(n^2); DCsam yields faster construction and stronger empirical distortion/runtime gains vs. prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6285
Venue
SIGMOD
Year
2022
Pagerank
4.1945683e-05
Overall Rank
11,335 | 21.15%
DOI
10.1145/3514221.3517831

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Rank Citing Paper Year Venue Pagerank
7,654 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 4.687476e-05
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