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Convergence of the groups posterior distribution in latent or stochastic bloc...
We propose a unified framework for studying both latent and stochastic block models, which are used to cluster simultaneously rows and columns of a data matrix. In... -
Model Selection for Gaussian Latent Block Clustering with the Integrated Clas...
International audience
