Dec 6, 2009 · In this paper, we present a number of surprisingly simple search tree algorithms for Weighted Cluster Editing assuming that edge insertion and deletion costs ...

The goal of the Cluster Editing problem is to make the fewest changes to the edge set of an input graph such that the resulting graph is a disjoint union of ...

To solve Weighted Cluster Editing we first identify all connected compo- nents of the input graph and calculate the best solutions for all components sep-.

A constrained version of Cluster Editing is introduced, featuring more input parameters that set a lower bound on the size of a clique-cluster as well as ...

This problem is NP-complete but recently, several parameterized algorithms have been proposed. In this paper we present a surprisingly simple branching strategy ...

The goal of the Cluster Editing problem is to make the fewest changes to the edge set of an input graph such that the resulting graph is a disjoint union of ...

In this paper we introduce a new variant of Cluster Editing whereby a vertex can be divided, or split, into two or more vertices thus allowing a single vertex ...

The goal of the Cluster Editing problem is to make the fewest changes to the edge set of an input graph such that the resulting graph is a disjoint union of ...

Our algorithm uses a well-known transformation to the integer-weighted counterpart of the problem. To achieve our result, we combine three techniques: First, we.

To solve Integer-Weighted Cluster Editing we first identify all connected components of the input graph and calculate the best solutions for each component ...