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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach - Unsupervised and Semi-Supervised Learning Y-h. Taguchi 2020 edition
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach - Unsupervised and Semi-Supervised Learning
Y-h. Taguchi
This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition.
321 pages, 94 Illustrations, color; 17 Illustrations, black and white; XVIII, 321 p. 111 illus., 94
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 5. september 2020 |
| ISBN13 | 9783030224585 |
| Utgivere | Springer Nature Switzerland AG |
| Antall sider | 321 |
| Mål | 150 × 220 × 10 mm · 522 g |
| Språk | Tysk |