Cluster deletion revisited

07/19/2019
by   Dekel Tsur, et al.
0

In the Cluster Deletion problem the input is a graph G and an integer k, and the goal is to decide whether there is a set of at most k edges whose removal from G results a graph in which every connected component is a clique. In this paper we give an algorithm for Cluster Deletion whose running time is O^*(1.404^k).

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/22/2019

Faster parameterized algorithm for Cluster Vertex Deletion

In the Cluster Vertex Deletion problem the input is a graph G and an int...
research
08/09/2019

Kernel for Kt-free edge deletion

In the K_t-free edge deletion problem, the input is a graph G and an int...
research
07/02/2021

An Improved Fixed-Parameter Algorithm for 2-Club Cluster Edge Deletion

A 2-club is a graph of diameter at most two. In the decision version of ...
research
04/20/2019

Cluster Deletion on Interval Graphs and Split Related Graphs

In the Cluster Deletion problem the goal is to remove the minimum numbe...
research
04/20/2021

On link deletion and point deletion in games on graphs

We discuss link and point deletion operators on graph games and provide ...
research
08/22/2023

Minwise-Independent Permutations with Insertion and Deletion of Features

In their seminal work, Broder et. al. <cit.> introduces the minHash algo...
research
04/02/2023

Extended SPR for Evolving Networks with Nodes Preferential Deletion

Evolving networks are more widely existed in real world than static netw...

Please sign up or login with your details

Forgot password? Click here to reset