Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach - Unsupervised and Semi-Supervised Learning - Y-h. Taguchi - Bøker - Springer Nature Switzerland AG - 9783030224585 - 5. september 2020
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach - Unsupervised and Semi-Supervised Learning 2020 edition


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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  

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