Approximation algorithm for the capacitated correlation clustering problem with penalties

DOI10.1007/978-3-030-93176-6_2zbMath1503.90111OpenAlexW4205393147MaRDI QIDQ2151358

Xianzhao Zhang, Dongmei Zhang, Sai Ji, Gai-Di Li

Publication date: 1 July 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-93176-6_2

zbMATH Keywords

approximation algorithmcorrelation clusteringLP-roundingpenaltiescapacitated

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Cites Work

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• Near Optimal LP Rounding Algorithm for CorrelationClustering on Complete and Complete k-partite Graphs
• Correlation Clustering with Constrained Cluster Sizes and Extended Weights Bounds
• Improved Approximation Algorithms for Bipartite Correlation Clustering
• Motif and Hypergraph Correlation Clustering
• Approximation Schemes for Capacitated Clustering in Doubling Metrics

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