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Computing Clusters of Correlation Connected Objects

Summary: 4C (Computing Correlation Connected Clusters) finds local subgroups with uniform, arbitrarily complex correlations beyond global linear patterns. It blends PCA and DBSCAN to yield determinate, noise-robust clusters and beats DBSCAN, CLIQUE, ORCLUS in tests. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3540
Venue
SIGMOD
Year
2004
Pagerank
6.3937203e-05
Overall Rank
4,162 | 71.05%
DOI
-

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