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Correlation Clustering with Constrained Cluster Sizes and Extended Weights Bounds
2015
SIAM Journal on Optimization
We consider the problem of correlation clustering on graphs with constraints on both the cluster sizes and the positive and negative weights of edges. Our contributions are twofold: First, we introduce the problem of correlation clustering with bounded cluster sizes. Second, we extend the region of weight values for which the clustering may be performed with constant approximation guarantees in polynomial time and apply the results to the bounded cluster size problem.
doi:10.1137/140994198
fatcat:zh4kbx5pbrbpro2zkik2icd3xi