Near Optimal LP Rounding Algorithm for CorrelationClustering on Complete and Complete k-partite Graphs

Author:

Chawla Shuchi1,Makarychev Konstantin2,Schramm Tselil3,Yaroslavtsev Grigory4

Affiliation:

1. University of Wisconsin-Madison, Madison, WI, USA

2. Microsoft Research, Redmond, WA, USA

3. UC Berkeley, Berkeley, CA, USA

4. University of Pennsylvania, Philadelphia, PA, USA

Funder

National Science Foundation

Publisher

ACM

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1. Robust Correlation Clustering Problem with Locally Bounded Disagreements;Tsinghua Science and Technology;2024-02

2. Fitting Distances by Tree Metrics Minimizing the Total Error within a Constant Factor;Journal of the ACM;2024-01-02

3. Handling Correlated Rounding Error via Preclustering: A 1.73-approximation for Correlation Clustering;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

4. Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

5. A combinatorial multi-armed bandit approach to correlation clustering;Data Mining and Knowledge Discovery;2023-06-29

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