Paul D McNicholas

Gebundenes Buch

Mixture Model-Based Classification

Beschreibung

This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian and Gaussian approaches to model selection.

Autor

Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 236
• Erscheinungstermin: 19. August 2016
• Englisch
• Abmessung: 234mm x 157mm x 20mm
• Gewicht: 476g
• ISBN-13: 9781482225662
• ISBN-10: 1482225662
• Artikelnr.: 42752882