Pierre Latouche
About
Pierre Latouche has authored 32 papers that have received a total of 508 indexed citations.
This includes 21 papers in Artificial Intelligence, 14 papers in Statistical and Nonlinear Physics and 7 papers in Statistics and Probability. The topics of these papers are Bayesian Methods and Mixture Models (18 papers), Complex Network Analysis Techniques (14 papers) and Advanced Clustering Algorithms Research (7 papers). Pierre Latouche is often cited by papers focused on Bayesian Methods and Mixture Models (18 papers), Complex Network Analysis Techniques (14 papers) and Advanced Clustering Algorithms Research (7 papers) and collaborates with scholars based in France, Ireland and United States. Pierre Latouche's co-authors include Charles Bouveyron, Christophe Ambroise, Étienne Birmelé, Fabrice Rossi and Stéphane Robin and has published in prestigious journals such as Neurocomputing, Machine Learning and Computational Statistics & Data Analysis.
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