G. Govaert

11 papers and 989 indexed citations i.

G. Govaert has authored 11 papers that have received a total of 989 indexed citations. This includes 11 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (10 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (4 papers). G. Govaert is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (4 papers) and collaborates with scholars based in France. G. Govaert's co-authors include Mohamed Nadif, Christophe Ambroise, Gilles Celeux, Christophe Biernacki and Hani Hamdan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Computational Statistics & Data Analysis