Unsupervised feature extraction applied to bioinformatics : a PCA based and TD based approach

• Material Type: 図書
• ISBN: 9783031609817 hardcover; 3031609816 hardcover; 9783031609824 (electronic bk.); 3031609824 (electronic bk.)
• ISSN (series): 2522-848X
• Title: Unsupervised feature extraction applied to bioinformatics : a PCA based and TD based approach
• Author/Editor: Y-h. Taguchi
• Edition: Second edition
• Series Title: Unsupervised and semi-supervised learning
• Author Heading: 田口, 善弘, 1961- タグチ, ヨシヒロ, 1961- ( 00404997 )Authorities
• Publication, Distribution, etc.: Cham, Switerland : Springer (出版)
• Publication Date: [2024]
• Publication Date (W3CDTF): 2024
• Extent: xxii, 533 pages
• Other physical details: illustrations (some color)
• Size: 25 cm
• Place of Publication (Country Code): CH
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Principal components analysis; Calculus of tensors; Bioinformatics; Analyse en composantes principales; Calcul tensoriel; Bio-informatique
• LCC: QA278.5
• DDC: 519.5354
• NDLC: MA211
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references and index
• Collection (particular): 日本関係外国語図書
• Holding library: 国立国会図書館
• Call No.: MA211-D62
• Related Material (DOI): 10.1007/978-3-031-60982-4
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 033519997; http://id.ndl.go.jp/bib/033519997
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Introduction to linear algebraMatrix factorizationTensor decompositions...
• Summary, etc.: This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that altho...