Open access peer-reviewed Edited Volume

Principal Component Analysis

Engineering Applications

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 energy, multi-sensor data fusion, materials science, gas chromatographic analysis, ecology, video and image processing, agriculture, color coating, climate and automatic target recognition.

Read more >Order hardcopy
Principal Component AnalysisEngineering ApplicationsEdited by Parinya Sanguansat

Published: March 7th 2012

DOI: 10.5772/2693

ISBN: 978-953-51-0182-6

eBook (PDF) ISBN: 978-953-51-5693-2

Copyright year: 2012

Books open for chapter submissions

31935 Total Chapter Downloads

24 Crossref Citations

76 Web of Science Citations

67 Dimensions Citations


Open access peer-reviewed

1. Principal Component Analysis – A Realization of Classification Success in Multi Sensor Data Fusion

By Maz Jamilah Masnan, Ammar Zakaria, Ali Yeon Md. Shakaff, Nor Idayu Mahat, Hashibah Hamid, Norazian Subari and Junita Mohamad Saleh


Open access peer-reviewed

2. Applications of Principal Component Analysis (PCA) in Materials Science

By Prathamesh M. Shenai, Zhiping Xu and Yang Zhao


Open access peer-reviewed

3. Methodology for Optimization of Polymer Blends Composition

By Alessandra Martins Coelho, Vania Vieira Estrela Joaquim Teixeira de Assis and Gil de Carvalho


Open access peer-reviewed

4. Applications of PCA to the Monitoring of Hydrocarbon Content in Marine Sediments by Means of Gas Chromatographic Measurements

By Mauro Mecozzi, Marco Pietroletti, Federico Oteri and Rossella Di Mento


Open access peer-reviewed

5. Application of Principal Component Analysis in Surface Water Quality Monitoring

By Yared Kassahun Kebede and Tesfu Kebedee


Open access peer-reviewed

6. EM-Based Mixture Models Applied to Video Event Detection

By Alessandra Martins Coelho and Vania Vieira Estrela


Open access peer-reviewed

7. Principal Component Analysis in the Development of Optical and Imaging Spectroscopic Inspections for Agricultural / Food Safety and Quality

By Yongliang Liu


Open access peer-reviewed

8. Application of Principal Components Regression for Analysis of X-Ray Diffraction Images of Wood

By Joshua C. Bowden and Robert Evans


Open access peer-reviewed

9. Principal Component Analysis in Industrial Colour Coating Formulations

By José M. Medina-Ruiz


Open access peer-reviewed

10. Improving the Knowledge of Climatic Variability Patterns Using Spatio-Temporal Principal Component Analysis

By Sílvia Antunes, Oliveira Pires and Alfredo Rocha


Open access peer-reviewed

11. Automatic Target Recognition Based on SAR Images and Two-Stage 2DPCA Features

By Liping Hu, Hongwei Liu and Hongcheng Yin


Edited Volume and chapters are indexed in

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

Order a hardcopy of the Edited Volume

Free shipping with DHL Express

Hardcover (ex. VAT)£119

Order now

Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Special discount for IntechOpen contributors

All IntechOpen contributors are offered special discounts starting at 40% OFF available through your personal dashboard

Login and purchase