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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Hlavní autoři:	Assel Muslim Essa, Asmaa Ghalib Alrawi
Médium:	Artigo
Jazyk:	Árabe
Vydáno:	College of Computer Science and Mathematics, University of Mosul 2019-09-01
Edice:	المجلة العراقية للعلوم الاحصائية
Témata:	: images image processing digital image dimensionality reduction principal component analysis kernel principal component analysis
On-line přístup:	https://stats.mosuljournals.com/article_164189_dc3d7b0cb7e3b7ca911d953ad432f039.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!