Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach - Unsupervised and Semi-Supervised Learning - Y-h. Taguchi - Books - Springer Nature Switzerland AG - 9783030224585 - September 5, 2020
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Y-h. Taguchi
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 Books     Paperback Book   (Book with soft cover and glued back)
Released September 5, 2020
ISBN13 9783030224585
Publishers Springer Nature Switzerland AG
Pages 321
Dimensions 150 × 220 × 10 mm   ·   522 g
Language German  

Mere med samme udgiver

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