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Mixture Model-Based Classification Paul D. McNicholas 1st edition
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Mixture Model-Based Classification
Paul D. McNicholas
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.
212 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 18, 2020 |
| ISBN13 | 9780367736958 |
| Publishers | Taylor & Francis Ltd |
| Pages | 212 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
