On the redundancy of transitivity constraints in the clique partitioning problem

Fuente: arXiv
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Autor principal: Sukegawa, Noriyoshi
Formato: Preprint
Publicado: 2026
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author Sukegawa, Noriyoshi
author_facet Sukegawa, Noriyoshi
contents In this study, we identify a class of redundant transitivity constraints in a 0-1 integer linear programming formulation of the clique partitioning problem. The transitivity constraints in this class can be removed from the formulation without changing the optimal solution set, although each transitivity constraint defines a facet of the associated polytope. This leads to a smaller formulation that is particularly effective for instances arising from correlation clustering, where edge weights are drawn from $\{-1,1\}$. Our computational experiments show that the resulting formulation outperforms existing formulations on such instances.
format Preprint
id arxiv_https___arxiv_org_abs_2605_01481
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On the redundancy of transitivity constraints in the clique partitioning problem
Sukegawa, Noriyoshi
Optimization and Control
Discrete Mathematics
90C10, 90C27, 05C85
In this study, we identify a class of redundant transitivity constraints in a 0-1 integer linear programming formulation of the clique partitioning problem. The transitivity constraints in this class can be removed from the formulation without changing the optimal solution set, although each transitivity constraint defines a facet of the associated polytope. This leads to a smaller formulation that is particularly effective for instances arising from correlation clustering, where edge weights are drawn from $\{-1,1\}$. Our computational experiments show that the resulting formulation outperforms existing formulations on such instances.
title On the redundancy of transitivity constraints in the clique partitioning problem
topic Optimization and Control
Discrete Mathematics
90C10, 90C27, 05C85
url https://arxiv.org/abs/2605.01481