Cluster Deletion is as Hard to Approximate as Vertex Cover
Yixin Cao, Ying Xu
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].
Create a lesson
Related papers
A Near-Optimal Space Lower Bound for Euclidean Diameter Estimation in Dynamic Streams
Ashwin Padaki, Krish Singal, Erik Waingarten
A Walk From Free Probability to Matrix Discrepancy I: Matrix Spencer
Tarun Kathuria
A Walk From Free Probability to Matrix Discrepancy II: Weaver's Problem and the Kadison-Singer Conjecture
Tarun Kathuria
Degree-Free Spectral Independence for Log-Concave Holant Measures
Xiaoyu Chen, Zejia Chen, Xinyuan Zhang
Optimizing Both Checking and Update Costs in Random Walk Search
Simon Apers, Marin Costes
Routing Multiple Agents Below the Sum of Distances
Matthias Bentert, Eduard Eiben, Fedor V. Fomin et al.