Mixture Model-Based Classification - Paul D McNicholas
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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.
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Aprašymas
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.
Vairāk informācijas
| Autors | Paul D McNicholas |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2016 |
| Vāka tips | Cietais vāks |
| EAN | 9781482225662 |