P Sanguansat - Principal Component Analysis, 2012 - books.google.com
Normally in Principal Component Analysis (PCA)(Sirovich & Kirby, 1987; Turk & Pentland, 1991), the 2D image matrices are firstly transformed to 1D image vectors by vectorization …
Normally in Principal Component Analysis (PCA)(Sirovich & Kirby, 1987; Turk & Pentland, 1991), the 2D image matrices are firstly transformed to 1D image vectors by vectorization …
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 …
Normally in Principal Component Analysis (PCA)(Sirovich & Kirby, 1987; Turk & Pentland, 1991), the 2D image matrices are firstly transformed to 1D image vectors by vectorization …
Normally in Principal Component Analysis (PCA)(Sirovich & Kirby, 1987; Turk & Pentland, 1991), the 2D image matrices are firstly transformed to 1D image vectors by vectorization …
Normally in Principal Component Analysis (PCA)(Sirovich & Kirby, 1987; Turk & Pentland, 1991), the 2D image matrices are firstly transformed to 1D image vectors by vectorization …
EconPapers: Two-Dimensional Principal Component Analysis and Its Extensions EconPapers Economics at your fingertips EconPapers Home About EconPapers Working Papers Journal …