Advances in Principal Component Analysis: Research and Development
Language: English
Published by Springer Nature Singapore, 2019
- Softcover
- New
Condition: New
£ 94.70
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the latest, cutting-edge topics in PCA, with a focus on open problemsBalances theory and applications, with concrete examplesOffers in-depth analysis of PCA topics simply not covered anywhere elseIncludes the most advanced and.
Seller Inventory # 266455141
- Title
- Advances in Principal Component Analysis: Research and Development
- Author
- Naik, Ganesh R.
- Publisher
- Springer Nature Singapore
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9811349347
- ISBN 13
- 9789811349348
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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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