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.

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Principal Component AnalysisEngineering ApplicationsEdited by Parinya Sanguansat

Published: March 7th 2012

DOI: 10.5772/2693

ISBN: 978-953-51-0182-6

Copyright year: 2012

Books open for chapter submissions

23834 Total Chapter Downloads

5 Crossref Citations

40 Web of Science Citations

32 Dimensions Citations

chaptersDownloads

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

2599

Open access peer-reviewed

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

By Prathamesh M. Shenai, Zhiping Xu and Yang Zhao

3425

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

2389

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

1578

Open access peer-reviewed

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

By Yared Kassahun Kebede and Tesfu Kebedee

2752

Open access peer-reviewed

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

By Alessandra Martins Coelho and Vania Vieira Estrela

1205

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

2113

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

2180

Open access peer-reviewed

9. Principal Component Analysis in Industrial Colour Coating Formulations

By José M. Medina-Ruiz

3016

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

1408

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

1169

Edited volume and chapters are indexed in

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

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