Algorithms and Complexity of s-Club Cluster Vertex Deletion
An s-club is a graph with whose diameter is at most s. Let G be a graph. A set of vertices D⊆V(G) is an s-club deleting (\textsc{s-CD}) set if each connected component of G−D is an s-club. In the \textsc{s-Club Cluster Vertex Deletion (s-CVD)} problem, the goal is to find an s-CD set with minimum cardinality. When s=1, the \textsc{s-CVD} is equivalent to the well-studied \textsc{Cluster Vertex Deletion} problem. On the negative side, we show that Unless the Unique Games Conjecture is false, there is no (2−ϵ)−algorithm for \textsc{2-CVD} on split graphs, for any ϵ>0. This contrasts the polynomial time solvability of \textsc{Cluster Vertex Deletion} on split graphs. We show that for each s≥2, s-CVD is NP-hard on bounded degree planar bipartite graphs and APX-hard on bounded degree bipartite graphs. On the positive side, we give a polynomial time algorithm to solve s-CVD on trapezoid graphs, for each s≥1.
https://link.springer.com/chapter/10.1007/978-3-030-79987-8_11