AbstractGiven a graph G=(X,U), the problem dealt within this paper consists in partitioning X into a disjoint union of cliques by adding or removing a minimum number z(G) of edges (Zahn's problem). While the computation of z(G) is NP-hard in general, we show that its computation can be done in polynomial time when G is bipartite, by relating it to a maximum matching problem. When G is a complete multipartite graph, we give an explicit formula specifying z(G) with respect to some structural features of G. In both cases, we give also the structure of all the optimal clusterings of G
We consider a variant of the clustering problem for a complete weighted graph. The aim is to partiti...
AbstractWe consider the problem of clustering a set of items into subsets whose sizes are bounded fr...
We define a general variant of the graph clustering problem where the criterion of density for the c...
AbstractGiven a graph G=(X,U), the problem dealt within this paper consists in partitioning X into a...
AbstractWe study a group of clustering problems on bipartite and chordal graphs. Our objective is to...
AbstractWe study a group of clustering problems on bipartite and chordal graphs. Our objective is to...
Identifying clusters of similar objects in data plays a significant role in a wide range of applicat...
Identifying clusters of similar objects in data plays a significant role in a wide range of applicat...
We consider the following clustering problem: we have a complete graph on vertices (items), where e...
AbstractIn a clustering problem one has to partition a set of elements into homogeneous and well-sep...
We study clustering over multiple graphs- each encoding a distinct set of similarity relationships (...
AbstractWe consider the problem of clustering a collection of elements based on pairwise judgments o...
Clustering is a fundamental problem in data science, yet, the variety of clustering methods and thei...
Clustering bipartite graphs is a fundamental task in network analysis. In the high-dimensional regim...
AbstractParity graphs form a superclass of bipartite and distance-hereditary graphs. Since their int...
We consider a variant of the clustering problem for a complete weighted graph. The aim is to partiti...
AbstractWe consider the problem of clustering a set of items into subsets whose sizes are bounded fr...
We define a general variant of the graph clustering problem where the criterion of density for the c...
AbstractGiven a graph G=(X,U), the problem dealt within this paper consists in partitioning X into a...
AbstractWe study a group of clustering problems on bipartite and chordal graphs. Our objective is to...
AbstractWe study a group of clustering problems on bipartite and chordal graphs. Our objective is to...
Identifying clusters of similar objects in data plays a significant role in a wide range of applicat...
Identifying clusters of similar objects in data plays a significant role in a wide range of applicat...
We consider the following clustering problem: we have a complete graph on vertices (items), where e...
AbstractIn a clustering problem one has to partition a set of elements into homogeneous and well-sep...
We study clustering over multiple graphs- each encoding a distinct set of similarity relationships (...
AbstractWe consider the problem of clustering a collection of elements based on pairwise judgments o...
Clustering is a fundamental problem in data science, yet, the variety of clustering methods and thei...
Clustering bipartite graphs is a fundamental task in network analysis. In the high-dimensional regim...
AbstractParity graphs form a superclass of bipartite and distance-hereditary graphs. Since their int...
We consider a variant of the clustering problem for a complete weighted graph. The aim is to partiti...
AbstractWe consider the problem of clustering a set of items into subsets whose sizes are bounded fr...
We define a general variant of the graph clustering problem where the criterion of density for the c...