Gérard Govaert

34 papers and 2.2k indexed citations i.

Gérard Govaert has authored 34 papers that have received a total of 2.2k indexed citations. This includes 28 papers in Artificial Intelligence, 10 papers in Signal Processing and 7 papers in Statistics and Probability. The topics of these papers are Bayesian Methods and Mixture Models (25 papers), Advanced Clustering Algorithms Research (14 papers) and Data Management and Algorithms (6 papers). Gérard Govaert is often cited by papers focused on Bayesian Methods and Mixture Models (25 papers), Advanced Clustering Algorithms Research (14 papers) and Data Management and Algorithms (6 papers) and collaborates with scholars based in France, United Kingdom and Belgium. Gérard Govaert's co-authors include Gilles Celeux, Christophe Biernacki, Allou Samé, Mohamed Nadif and Patrice Aknin and has published in prestigious journals such as The Science of The Total Environment, European Journal of Operational Research and Pattern Recognition