Model-Based Clustering and Classification for Data Science: With Applications in R: Series Number 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50) - Hardcover

Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.

Hardcover

ISBN 10: 110849420X ISBN 13: 9781108494205

Publisher: Cambridge University Press, 2019

Synopsis

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

About this title

About the Authors

Charles Bouveyron is Full Professor of Statistics at Université Côte d'Azur and the Chair of Excellence in Data Science at Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt. He has published extensively on model-based clustering, particularly for networks and high-dimensional data.

Gilles Celeux is Director of Research Emeritus at Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt. He is one of the founding researchers in model-based clustering, having published extensively in the area for thrity-five years.

T. Brendan Murphy is Full Professor in the School of Mathematics and Statistics at University College Dublin. His research interests include model-based clustering, classification, network modeling and latent variable modeling.

Adrian E. Raftery is the Boeing International Professor of Statistics and Sociology at the University of Washington. He is one of the founding researchers in model-based clustering, having published in the area since 1984.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2019
• Language: English
• ISBN 10: 110849420X
• ISBN 13: 9781108494205
• Binding: Hardcover
• Edition number: 1
• Number of pages: 446