Кластеризация и классификация на основе моделей для науки о данных: с применением

Model-Based Clustering and Classification for Data Science: With Applications in R

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.

• Autor: Charles Bouveyron, Gilles Celeux
• Wydawnictwo: Cambridge University Press
• Rok wydania: 2019
• Okładka: twarda
• Liczba stron: 446
• Wymiary: 18.6 x 26 x 2.8 cm
• Ilustracje: 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 an
• Język: angielski
• ISBN: 9781108494205