Principal Component Analysis - Engineering Applications

Edited by Parinya Sanguansat

in Books from IntechOpen

Abstract: 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.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2012
ISBN: 978-953-51-0182-6
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/books/1872 (text/html)
Book downloadable chapter-by-chapter

Chapters in this book:

Application of Principal Component Analysis in Surface Water Quality Monitoring

Yared Kassahun Kebede and Tesfu Kebede

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

Joshua Bowden and Robert Evans

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

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

Applications of Principal Component Analysis (PCA) in Materials Science

Yang Zhao

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

Liping Hu

EM-Based Mixture Models Applied to Video Event Detection

Alessandra Martins Coelho and Vania Estrela

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

Silvia Antunes, Oliveira Pires and Alfredo Rocha

Methodology for Optimization of Polymer Blends Composition

Joaquim Teixeira De Assis, Gil De Carvalho, Alessandra Martins Coelho and Vania Estrela

Principal Component Analysis - A Realization of Classification Success in Multi Sensor Data Fusion

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

Principal Component Analysis in Industrial Colour Coating Formulations

Jose M Medina-Ruiz

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

Yongliang Liu

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:1872

DOI: 10.5772/2693

Access Statistics for this book

More books in Books from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().