Comparative Analysis of Singular Value Decomposition and Eigen Value Decomposition Based Principal Component Analysis for Earth and Lunar Hyperspectral Image

2021 ◽  
Author(s):  
Prateek Tripathi ◽  
Rahul Dev Garg
Keyword(s):  
Principal Component Analysis ◽  
Comparative Analysis ◽  
Singular Value Decomposition ◽  
Hyperspectral Image ◽  
Principal Component ◽  
Component Analysis ◽  
Singular Value ◽  
Eigen Value ◽  
Value Decomposition

scholarly journals Dimensionality Reduction of Dynamic Mesh Animations Using HO-SVD

2013 ◽  
Vol 3 (4) ◽  
pp. 277-289 ◽  
Author(s):  
Michał Romaszewski ◽  
Piotr Gawron ◽  
Sebastian Opozda
Keyword(s):  
Principal Component Analysis ◽  
Singular Value Decomposition ◽  
Dimensionality Reduction ◽  
Principal Component ◽  
Component Analysis ◽  
Higher Order ◽  
Singular Value ◽  
3D Mesh ◽  
Reduction Of Dimensionality ◽  
Value Decomposition

Abstract This work presents an analysis of Higher Order Singular Value Decomposition (HOSVD) applied to reduction of dimensionality of 3D mesh animations. Compression error is measured using three metrics (MSE, Hausdorff, MSDM). Results are compared with a method based on Principal Component Analysis (PCA) and presented on a set of animations with typical mesh deformations.

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