Model-Based Clustering and Classification for Data Science

With Applications in R

Bouveyron, Charles, Celeux, Gilles, Murphy, T. Brendan (University College Dublin), Raftery, Adrian E. (University of Washington) - Model-Based Clustering and Classification for Data Science

Description

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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Writer: Bouveyron, Charles, Celeux, Gilles, Murphy, T. Brendan (University College Dublin), Raftery, Adrian E. (University of Washington)
Title: Model-Based Clustering and Classification for Data Science
Publisher: Cambridge University Press

Year: 2019
Language: English
Pages: 446
Weight: 1112 gr

EAN: 9781108494205
Dimensions: 260 x 185 x 25 mm
Binding format: Gebonden

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Model-Based Clustering and Classification for Data Science

With Applications in R

Description

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