Variational Bayesian inference and complexity control for stochastic block models

It is now widely accepted that knowledge can be acquired from networks by clustering their vertices according to the connection profiles. Many methods have been proposed and in this paper we concentrate on the Stochastic Block Model (SBM). The clustering of vertices and the estimation of SBM model p...

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Veröffentlicht in:	Statistical modelling 2012-02, Vol.12 (1), p.93-115
Hauptverfasser:	Latouche, P, Birmelé, E, Ambroise, C
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications Approximation Cluster analysis Clustering Methodology Optimization techniques Social sciences Software Statistics Stochastic models Studies
Online-Zugang:	Volltext
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