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NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data

Summary: NG-DBSCAN: an approximate, distributed DBSCAN variant for arbitrary data with any symmetric distance. It delivers scalable, fast clustering on large datasets with high-quality results, plus a detailed algorithmic walkthrough and extensive real/synthetic experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11440
Venue
VLDB
Year
2017
Pagerank
8.4045788e-05
Overall Rank
2,635 | 81.68%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019005923
961 DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation 2015 SIGMOD 0.00015001792
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