A class of transitivity constraints in the clique partitioning ILP are redundant and removable while preserving optimal solutions, yielding a smaller formulation that outperforms prior ones on correlation clustering with {-1,1} edge weights.
Evaluation of ilp-based approaches for partitioning into colorful components, in: International symposium on experimental algorithms, Springer
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On the redundancy of transitivity constraints in the clique partitioning problem
A class of transitivity constraints in the clique partitioning ILP are redundant and removable while preserving optimal solutions, yielding a smaller formulation that outperforms prior ones on correlation clustering with {-1,1} edge weights.