TY - CHAP A1 - Omar Arif A2 - Patricio A. Vela ED1 - Parinya Sanguansat Y1 - 2012-03-02 PY - 2012 T1 - Robust Density Comparison Using Eigenvalue Decomposition 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. 11 UR - https://doi.org/10.5772/38517 DO - 10.5772/38517 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-06-17 ER -