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C2P: Clustering based on Closest Pairs

Summary: C2P: clustering for large spatial databases using spatial access methods to locate closest pairs. Extensions enable scalable clustering for diverse shapes and outliers, blending hierarchical and graph-theoretic approaches; validated analytically and experimentally. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8757
Venue
VLDB
Year
2001
Pagerank
4.8960306e-05
Overall Rank
6,883 | 52.12%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,608 Clustering Objects on a Spatial Network 2004 SIGMOD 4.6967024e-05
11,207 Closest Pairs Search Over Data Stream 2023 SIGMOD 4.1945683e-05
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Showing 11 of 11 cited papers.

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

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