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Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering*

Summary: Fast parallel EMST and HDBSCAN* via WSPD-based Kruskal and bichromatic closest pairs. A new well-separation reduces work; parallel divide-and-conquer builds dendrograms and reachability with compact WSP subsets, delivering speedups over serial and prior parallel methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6186
Venue
SIGMOD
Year
2021
Pagerank
4.1945683e-05
Overall Rank
11,477 | 20.16%
DOI
10.1145/3448016.3457296

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Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,387 Parallel kd-tree with Batch Updates 2025 SIGMOD 4.1945683e-05
11,383 ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain 2022 VLDB 4.1945683e-05
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