To purchase hard copies of this book, please email:
orders@intechopen.com
Share this page
This book is indexed in
Computer and Information Science » Numerical Analysis and Scientific Computing
Principal Component Analysis
Edited by Parinya Sanguansat, ISBN 978-953-51-0195-6, Hard cover, 300 pages, Publisher: InTech, Chapters published March 02, 2012 under CC BY 3.0 license
DOI: 10.5772/2340
This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as image processing, biometric, face recognition and speech processing. It also includes the core concepts and the state-of-the-art methods in data analysis and feature extraction.
Promote this Book
How to link?
Copy the following HTML and paste it in your blog post or your web page.
How to promote your work
After the publication processes is complete, the work of InTech's staff does not stop. We take all the necessary steps to promote your work across a number of relevant web locations. However, you can also help. Using the tools provided above, you can link your manuscript to your personal website or blog, the repository system of your university, send the link to your colleagues and fellow scientists, or share it on social networks.



