McNicholas Mixture Model-Based Classification

Erscheinungsjahr 2016
ISBN: 978-1-4822-2567-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 236 Seiten

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.

Zielgruppe

Researchers and graduate students in statistics, bioinformatics, and the social sciences.

Autoren/Hrsg.

McNicholas, Paul D.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik