Editors:
Covers the latest, cutting-edge topics in PCA, with a focus on open problems
Balances theory and applications, with concrete examples
Offers in-depth analysis of PCA topics simply not covered anywhere else
Includes the most advanced and popular areas of PCA, offering a broad and comprehensive description of all the core principles
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Table of contents (9 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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BENS Research Group, MARCS Institute, Western Sydney University, Kingswood, Australia
Ganesh R. Naik
About the editor
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.Â
Bibliographic Information
Book Title: Advances in Principal Component Analysis
Book Subtitle: Research and Development
Editors: Ganesh R. Naik
DOI: https://doi.org/10.1007/978-981-10-6704-4
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-6703-7Published: 02 February 2018
Softcover ISBN: 978-981-13-4934-8Published: 09 February 2019
eBook ISBN: 978-981-10-6704-4Published: 11 December 2017
Edition Number: 1
Number of Pages: VII, 252
Number of Illustrations: 19 b/w illustrations, 75 illustrations in colour
Topics: Signal, Image and Speech Processing, Pattern Recognition, Computational Intelligence, Computational Mathematics and Numerical Analysis, Biomedical Engineering and Bioengineering