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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
6347
Venue
SIGMOD
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,534 | 20.87%
DOI
10.1145/3514221.3517831

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Authors

BibTeX Citation

@inproceedings{zeng_sigmod22,
        title = {{Faster and Better Solution to Embed Lp Metrics by Tree Metrics}},
        author = {Zeng, Yuxiang and Tong, Yongxin and Chen, Lei},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517831},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517831},
        year = {2022}
}

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Rank Citing Paper Year Venue Pagerank
7,376 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 5.6298131e-05
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