Model-Based Clustering and Classification for Data Science: With Applications in R (Bog, Hardback, Engelsk) af Charles Bouveyron
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Model-Based Clustering and Classification for Data Science: With Applications in R

(Bog, Hardback, Engelsk)
Forfattere: Charles Bouveyron, Gilles Celeux, T. Brendan (University College Dublin) Murphy, Adrian E. (University of Washington) Raftery
Model-Based Clustering and Classification for Data Science: With Applications in R
Forlag: Cambridge University Press

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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.

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Forlag Cambridge University Press
Forfattere Charles Bouveyron, Gilles Celeux, T. Brendan (University College Dublin) Murphy, Adrian E. (University of Washington) Raftery
Type Bog
Format Hardback
Sprog Engelsk
Udgivelsesdato 25-07-2019
Første udgivelsesår 2019
Serie Cambridge Series in Statistical and Probabilistic Mathematics
Illustrationer Worked examples or Exercises; 48 Tables, black and white; 72 Halftones, color; 9 Halftones, black and white; 99 Line drawings, color; 31 Line drawings, black and white
Originalsprog United Kingdom
Sideantal 446
Indbinding Hardback
Forlag Cambridge University Press
Sideoplysninger 446 pages, Worked examples or Exercises; 48 Tables, black and white; 72 Halftones, color; 9 Halftone
Mål 186 x 260 x 25
ISBN-13 / EAN-13 9781108494205