Computer and Information Science » Numerical Analysis and Scientific Computing

Principal Component Analysis - Engineering Applications

Edited by Parinya Sanguansat, ISBN 978-953-51-0182-6, 230 pages, Publisher: InTech, Chapters published March 07, 2012 under CC BY 3.0 license
DOI: 10.5772/2693
Edited Volume

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.