N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques - Variance decomposition - Document - PDFSEARCH.IO

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	N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques Add to Reading List Document Date: 2010-07-28 12:35:21 Open Document File Size: 395,50 KB Share Result on Facebook Company 2D-SVD / / IndustryTerm near optimal solution / near optimal linear solution / near-optimal solution / / Organization Bournemouth University / MiT / Pattern Analysis and Machine Intelligence / / ProvinceOrState Connecticut / / Technology Data Mining / MRI / / SocialTag Singular value decomposition Multivariate statistics Matrix theory Functional analysis Principal component analysis Two-dimensional singular value decomposition Higher-order singular value decomposition Eigenvalues and eigenvectors Singular value Algebra

N-Dimensional Principal Component Analysis Hongchuan YU and Jian J. ZHANG NCCA, Bournemouth University Abstract In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniquesAdd to Reading List