TY  - CHAP
AU  - Cuauhtémoc Araujo-Andrade Claudio Frausto-Reyes
AU  - Esteban Gerbino
AU  - Pablo Mobili
AU  - Elizabeth Tymczyszyn Edgar L. Esparza-Ibarra
AU  - Rumen Ivanov-Tsonchev
AU  - Andrea Gómez-Zavaglia
ED  - Parinya Sanguansat
Y1  - 2012-03-02
PY  - 2012
T1  - Application of Principal Component Analysis to Elucidate Experimental and Theoretical Information
N2  - 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 image processing, biometric, face recognition and speech processing. It also includes the core concepts and the state-of-the-art methods in data analysis and feature extraction.
BT  - Principal Component Analysis
SP  - Ch. 2
UR  - https://doi.org/10.5772/36970
DO  - 10.5772/36970
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-11
ER  -