11 citations · 16 across the 5 of their papers we have counts for
3 papers · 1 filter
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
High-dimensional data clustering has become and remains a challenging task for modern statistics and machine learning, with a wide range of applications. We consider in this work t…
Greedy clustering of count data through a mixture of multinomial PCA
Nicolas Jouvin, Pierre Latouche, Charles Bouveyron +2
Count data is becoming more and more ubiquitous in a wide range of applications, with datasets growing both in size and in dimension. In this context, an increasing amount of work…
Choosing the number of groups in a latent stochastic block model for dynamic networks
Riccardo Rastelli, Pierre Latouche, Nial Friel
Latent stochastic block models are flexible statistical models that are widely used in social network analysis. In recent years, efforts have been made to extend these models to te…