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Model-Based Clustering and Classification for Data Science

- With Applications in R

About Model-Based Clustering and Classification for Data Science

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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  • Language:
  • English
  • ISBN:
  • 9781108494205
  • Binding:
  • Hardback
  • Pages:
  • 446
  • Published:
  • July 24, 2019
  • Dimensions:
  • 260x186x25 mm.
  • Weight:
  • 1112 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 5, 2024

Description of Model-Based Clustering and Classification for Data Science

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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