Libro
Principal Component Analysis Handbook
Date
2015Registration in:
115.pdf
1- GENERAL
978-1-63240-416-9
115
CG0115
115
CG0115
Author
Cross, Rebecca
Institutions
Abstract
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into set of values of linearly uncorrelated variables called principal components. The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantage of this technique in data analysis and includes information on the uses of PCA in distinct fields like multi-sensor data fusion, ecology, energy, agriculture, climate, image and video processing, gas chromatographic examination, color coating, materials science and automatic target identification.