Description: Advances in Principal Component Analysis by Ganesh R. Naik Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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. Author Biography 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 Chancellors 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. Details ISBN 9811067031 ISBN-13 9789811067037 Title Advances in Principal Component Analysis Author Ganesh R. Naik Format Hardcover Year 2018 Pages 252 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:140383064; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 146.85 USD
Location: Fairfield, Ohio
End Time: 2025-01-29T03:10:12.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9789811067037
Book Title: Advances in Principal Component Analysis
Number of Pages: VII, 252 Pages
Language: English
Publication Name: Advances in Principal Component Analysis : Research and Development
Publisher: Springer
Publication Year: 2018
Subject: Signals & Signal Processing, Probability & Statistics / Multivariate Analysis, Intelligence (Ai) & Semantics, Probability & Statistics / General, Computer Vision & Pattern Recognition
Item Weight: 23.2 Oz
Type: Textbook
Item Length: 9.3 in
Author: Ganesh R. Naik
Subject Area: Mathematics, Computers, Technology & Engineering
Item Width: 6.1 in
Format: Hardcover
