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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Description
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.
More Information
| Author | Paul D McNicholas |
|---|---|
| Publisher | CRC Press |
| Release year | 2016 |
| Cover type | Hardcover |
| EAN | 9781482225662 |