Model-Based Clustering and Classification for Data Science With Applications in R |
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| Author:
| Bouveyron, Charles
Celeux, Gilles
Murphy, T. Brendan
Raftery, Adrian E. |
| Series title: | Cambridge Series in Statistical and Probabilistic Mathematics Ser. |
| ISBN: | 978-1-108-49420-5 |
| Publication Date: | Jul 2019 |
| Publisher: | Cambridge University Press
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| Book Format: | Hardback |
| List Price: | USD $88.99 |
Book Description:
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This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.