Correlation Clustering is a graph partitioning method that groups nodes into clusters based on the relative density of positive and negative pairwise similarity relationships, aiming to minimize disagreement with the given correlation signs.
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Nikhil Bansal, Avrim Blum, Shuchi Chawla · Machine Learning · 2004 · 1.1K citations · Full text
Correlation clustering in general weighted graphs
Erik D. Demaine, Dotan Emanuel, Amos Fiat et al. · Theoretical Computer Science · 2006 · 289 citations
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