Advances in Principal Component Analysis

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128,39 

Research and Development

ISBN: 9811067031
ISBN 13: 9789811067037
Herausgeber: Ganesh R Naik
Verlag: Springer Verlag GmbH
Umfang: vii, 252 S., 19 s/w Illustr., 75 farbige Illustr., 252 p. 94 illus., 75 illus. in color.
Erscheinungsdatum: 02.02.2018
Auflage: 1/2018
Produktform: Gebunden/Hardback
Einband: Gebunden

This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.

Artikelnummer: 2787171 Kategorie:

Beschreibung

Covers the latest, cutting-edge topics in PCA, with a focus on open problemsBalances theory and applications, with concrete examples  Offers in-depth analysis of PCA topics simply not covered anywhere elseIncludes the most advanced and popular areas of PCA, offering a broad and comprehensive description of all the core principles

Autorenporträt

Ganesh R Naik: Ganesh R. Naik received B.E. degree in Electronics and Communication Engineering from the University of Mysore, India, in 1997. M.E. degree in Communication and Information Engineering from Griffith University, Brisbane, Australia, in 2002, and the PhD degree in the area of Electronics Engineering, specialised in Biomedical Engineering and Signal processing from RMIT University, Melbourne, Australia, in 2009. He is currently Postdoctoral research fellow at MARCS institute, Western Sydney University. Prior to that he held Chancellor's Post-Doctoral Research Fellow position Centre for Health Technologies (CHT), University of Technology Sydney (UTS). As an early mid-career researcher, he has edited 10 books, authored more than 100 papers in peer reviewed journals, conferences, and book chapters over the last seven years. His research interests include EMG signal processing, Pattern recognition, Blind Source Separation (BSS) techniques, Biomedical signal processing, Human Computer Interface (HCI) and Audio signal processing. 

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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