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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
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 18. decembra 2020 |
| ISBN13 | 9780367736958 |
| Založniki | Taylor & Francis Ltd |
| Strani | 212 |
| Dimenzije | 150 × 220 × 10 mm · 453 g |
| Jezik | Angleščina |
