Comparison Between The Method of Principal Component Analysis And Principal Component Analysis Kernel For Imaging Dimensionality Reduction

This paper tackles with two methods to dimensionality reduction, namely principal component analysis (PCA )    in the case of linear combinations and kernel principal component  analysis method  in the case of nonlinear combinations to digital image processing and analysis for useful information .An...

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Bibliographic Details

Published in:	المجلة العراقية للعلوم الاحصائية
Main Authors:	Assel Muslim Essa, Asmaa Ghalib Alrawi
Format:	Article
Language:	Arabic
Published:	College of Computer Science and Mathematics, University of Mosul 2019-09-01
Subjects:	: images image processing digital image dimensionality reduction principal component analysis kernel principal component analysis
Online Access:	https://stats.mosuljournals.com/article_164189_dc3d7b0cb7e3b7ca911d953ad432f039.pdf