Today, the use of social networks is growing ceaselessly and rapidly. More alarming is the
fact that these networks have become a substantial pool for unstructured data that belong to …

This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

Community detection is a challenging optimisation problem that consists in searching for
communities that belong to a network or graph under the assumption that the nodes of the …

The continuation method is a popular heuristic in computer vision for nonconvex
optimization. The idea is to start from a simplified problem and gradually deform it to the …

In numerous applicative contexts, data are too rich and too complex to be represented by
numerical vectors. A general approach to extend machine learning and data mining …

This book deals with the basic concepts of GIS and optimization. It provides an overview of
various integration protocols that are termed GIS-O integration strategies applied to practical …

arxiv:1210.5693v1 [stat.AP] 21 Oct 2012 Page 1 Hierarchical clustering for graph visualization
Stéphan Clémençon1, Hector De Arazoza2, Fabrice Rossi1 and Viet-Chi Tran3* 1- Institut …

Les graphes (ou réseaux) sont devenus des outils courants de modélisation des données
relationnelles dans de nombreuses applications (réseaux sociaux, biologiques …

Social network analysis has become an important topic for researchers in sociology and
computer science. Similarities among individuals form communities as the basic …

Graphs have attracted a burst of attention in the last years, with applications to social
science, biology, computer science... In the present paper, we illustrate how self-organizing …