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

Books open for chapter submissions

30544 Total Chapter Downloads

26 Crossref Citations

49 Web of Science Citations

52 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Two-Dimensional Principal Component Analysis and Its Extensions

By Parinya Sanguansat

2126

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

2028

Open access peer-reviewed

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

By Maria Monfreda

1626

Open access peer-reviewed

4. Subset Basis Approximation of Kernel Principal Component Analysis

By Yoshikazu Washizawa

1430

Open access peer-reviewed

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

By Xian-Hua Han and Yen-Wei Chen

1561

Open access peer-reviewed

6. Application of Linear and Nonlinear Dimensionality Reduction Methods

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

1986

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

1814

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

1771

Open access peer-reviewed

9. FPGA Implementation for GHA-Based Texture Classification

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

1370

Open access peer-reviewed

10. The Basics of Linear Principal Components Analysis

By Yaya Keho

6215

Open access peer-reviewed

11. Robust Density Comparison Using Eigenvalue Decomposition

By Omar Arif and Patricio A. Vela

1690

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

3725

Open access peer-reviewed

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

By Xiang Gao

2110

Open access peer-reviewed

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

By Darko Dimitrov

1092

Edited volume and chapters are indexed in

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

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