Open access peer-reviewed Edited Volume

Principal Component Analysis

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.

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Principal Component AnalysisEdited by Parinya Sanguansat

Published: March 2nd 2012

DOI: 10.5772/2340

ISBN: 978-953-51-0195-6

eBook (PDF) ISBN: 978-953-51-5629-1

Copyright year: 2012

Books open for chapter submissions

40593 Total Chapter Downloads

58 Crossref Citations

208 Web of Science Citations

88 Dimensions Citations


Open access peer-reviewed

1. Two-Dimensional Principal Component Analysis and Its Extensions

By Parinya Sanguansat


Open access peer-reviewed

2. Application of Principal Component Analysis to Elucidate Experimental and Theoretical Information

By Cuauhtémoc Araujo-Andrade Claudio Frausto-Reyes, Esteban Gerbino, Pablo Mobili, Elizabeth Tymczyszyn Edgar L. Esparza-Ibarra, Rumen Ivanov-Tsonchev and Andrea Gómez-Zavaglia


Open access peer-reviewed

3. Principal Component Analysis: A Powerful Interpretative Tool at the Service of Analytical Methodology

By Maria Monfreda


Open access peer-reviewed

4. Subset Basis Approximation of Kernel Principal Component Analysis

By Yoshikazu Washizawa


Open access peer-reviewed

5. Multilinear Supervised Neighborhood Preserving Embedding Analysis of Local Descriptor Tensor

By Xian-Hua Han and Yen-Wei Chen


Open access peer-reviewed

6. Application of Linear and Nonlinear Dimensionality Reduction Methods

By Ramana Vinjamuri, WeiWang, Mingui Sun and Zhi-Hong Mao


Open access peer-reviewed

7. Acceleration of Convergence of the Alternating Least Squares Algorithm for Nonlinear Principal Components Analysis

By Masahiro Kuroda, Yuichi Mori, Masaya Iizuka and Michio Sakakihara


Open access peer-reviewed

8. The Maximum Non-Linear Feature Selection of Kernel Based on Object Appearance

By Mauridhi Hery Purnomo, Diah P. Wulandari, I. Ketut Eddy Purnama and Arif Muntasa


Open access peer-reviewed

9. FPGA Implementation for GHA-Based Texture Classification

By Shiow-Jyu Lin, Kun-Hung Lin andWen-Jyi Hwang


Open access peer-reviewed

10. The Basics of Linear Principal Components Analysis

By Yaya Keho


Open access peer-reviewed

11. Robust Density Comparison Using Eigenvalue Decomposition

By Omar Arif and Patricio A. Vela


Open access peer-reviewed

12. Robust Principal Component Analysis for Background Subtraction: Systematic Evaluation and Comparative Analysis

By Charles Guyon, Thierry Bouwmans and El-hadi Zahzah


Open access peer-reviewed

13. On-Line Monitoring of Batch Process with Multiway PCA/ICA

By Xiang Gao


Open access peer-reviewed

14. Computing and Updating Principal Components of Discrete and Continuous Point Sets

By Darko Dimitrov


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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