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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
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
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2020年9月5日 |
| ISBN13 | 9783030224585 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 321 |
| 寸法 | 150 × 220 × 10 mm · 522 g |
| 言語 | ドイツ語 |