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Cluster Deletion is as Hard to Approximate as Vertex Cover

Yixin Cao, Ying Xu

cs.DSarXiv:2608.04883

Abstract

Recent breakthroughs in Cluster Editing have motivated attempts to adapt these approaches to obtain better-than-2 approximations for Cluster Deletion. We rule out this possibility under the Unique Games Conjecture: Cluster Deletion is NP-hard to approximate within a factor of 2-ε for every fixed ε>0, matching the known 2-approximation [Veldt et al., WWW 2018]. Our approximation-preserving reduction from Vertex Cover also implies NP-hardness of approximation within 2-ε. We also show that better-than-2 approximations are possible in restricted settings. We close the paper with a brief discussion of the relationship between Cluster Editing and Bad Triangle Transversal. In particular, we give a 31-vertex graph~G for which the two optimal values differ, answering an open question of Adriaens and Tatti [ICML 2026].

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