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Model-Based Clustering and Classification for Data Science: With Applications in R - Cambridge Series in Statistical and Probabilistic Mathematics Charles Bouveyron
Model-Based Clustering and Classification for Data Science: With Applications in R - Cambridge Series in Statistical and Probabilistic Mathematics
Charles Bouveyron
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.
446 pages, Worked examples or Exercises; 48 Tables, black and white; 72 Halftones, color; 9 Halftone
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 25 de julio de 2019 |
| ISBN13 | 9781108494205 |
| Editores | Cambridge University Press |
| Páginas | 446 |
| Dimensiones | 260 × 186 × 25 mm · 1,02 kg |
| Lengua | Inglés |