In this note we introduce a graph problem, called Maximum Node Clustering (MNC). We prove that the problem (which is easily shown to be strongly NP-complete) can be approximated in polynomial time within a ratio arbitrarily close to 2. For the special case where the graph is a tree, the problem is NP-complete in the ordinary sense; for this case we present a pseudopolynomial algorithm based on dynamic programming, and a related Fully Polynomial Time Approximation Scheme (FPTAS). Also, the tree case is shown to be exactly solvable in O(2^(2n/3)poly(n)) time, where n is the number of nodes
Clustering under most popular objective functions is NP-hard, even to approximate well, and so unlik...
We study a family of graph clustering problems where each cluster has to satisfy a certain local req...
The complexity of a computational problem is traditionally quantified based on the hardness of its w...
In this note we introduce a graph problem, called Maximum Node Clustering (MNC). We prove that the p...
Dans cet article, nous introduisons un problème de graphes, appelé Maximum Node Clustering (MNC). No...
AbstractGiven a graph G=(X,U), the problem dealt within this paper consists in partitioning X into a...
Clustering problems with relational constraints in which the underlying graph is a tree arise in a v...
AbstractClustering problems with relational constraints in which the underlying graph is a tree aris...
We study the problem of finding an optimum clustering, a problem known to be NP-hard. Existing liter...
We consider the problem of partitioning the nodes of a complete edge weighted graph into {kappa} clu...
AbstractWe consider the following problem: Given a graph with edge lengths satisfying the triangle i...
We consider the following general graph clustering problem: given a complete undirected graph G=(V,E...
Given a set of clusters, we consider an optimization problem which seeks a subset of clusters that m...
International audienceThe k-medoids problem is a discrete sum-of-square clustering problem, which is...
We consider the following problem: Given a graph with edge lengths satisfying the triangle inequalit...
Clustering under most popular objective functions is NP-hard, even to approximate well, and so unlik...
We study a family of graph clustering problems where each cluster has to satisfy a certain local req...
The complexity of a computational problem is traditionally quantified based on the hardness of its w...
In this note we introduce a graph problem, called Maximum Node Clustering (MNC). We prove that the p...
Dans cet article, nous introduisons un problème de graphes, appelé Maximum Node Clustering (MNC). No...
AbstractGiven a graph G=(X,U), the problem dealt within this paper consists in partitioning X into a...
Clustering problems with relational constraints in which the underlying graph is a tree arise in a v...
AbstractClustering problems with relational constraints in which the underlying graph is a tree aris...
We study the problem of finding an optimum clustering, a problem known to be NP-hard. Existing liter...
We consider the problem of partitioning the nodes of a complete edge weighted graph into {kappa} clu...
AbstractWe consider the following problem: Given a graph with edge lengths satisfying the triangle i...
We consider the following general graph clustering problem: given a complete undirected graph G=(V,E...
Given a set of clusters, we consider an optimization problem which seeks a subset of clusters that m...
International audienceThe k-medoids problem is a discrete sum-of-square clustering problem, which is...
We consider the following problem: Given a graph with edge lengths satisfying the triangle inequalit...
Clustering under most popular objective functions is NP-hard, even to approximate well, and so unlik...
We study a family of graph clustering problems where each cluster has to satisfy a certain local req...
The complexity of a computational problem is traditionally quantified based on the hardness of its w...