TY - CHAP A1 - Cuauhtémoc Araujo-Andrade Claudio Frausto-Reyes A2 - Esteban Gerbino A3 - Pablo Mobili A4 - Elizabeth Tymczyszyn Edgar L. Esparza-Ibarra A5 - Rumen Ivanov-Tsonchev A6 - Andrea Gómez-Zavaglia ED1 - 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 - 2020-08-04 ER -