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Mixture Model-Based Classification Paul D. McNicholas 第1 版本
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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2020年12月18日 |
| ISBN13 | 9780367736958 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 212 |
| 商品尺寸 | 150 × 220 × 10 mm · 453 g |
| 语言 | 英语 |
