TY - CHAP A1 - Masahiro Kuroda A2 - Yuichi Mori A3 - Masaya Iizuka A4 - Michio Sakakihara ED1 - Parinya Sanguansat Y1 - 2012-03-02 PY - 2012 T1 - Acceleration of Convergence of the Alternating Least Squares Algorithm for Nonlinear Principal Components Analysis 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. 7 UR - https://doi.org/10.5772/37539 DO - 10.5772/37539 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-06-17 ER -