Principal Component Analysis using Singular Value Decomposition for Image Compression | Zendy

Prasannajit Dash | Zendy; Maya Nayak | Zendy; Guru Prasad Das | Zendy

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Principal Component Analysis using Singular Value Decomposition for Image Compression

Author(s) -

Prasannajit Dash,

Maya Nayak,

Guru Prasad Das

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - Uncategorized

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/16243-5795

Subject(s) - principal component analysis , singular value decomposition , dimensionality reduction , curse of dimensionality , computer science , transformation (genetics) , singular value , orthogonal transformation , value (mathematics) , compression (physics) , decomposition , robust principal component analysis , principal (computer security) , empirical orthogonal functions , algorithm , karhunen–loève theorem , data compression , pattern recognition (psychology) , artificial intelligence , eigenvalues and eigenvectors , machine learning , ecology , physics , materials science , biology , composite material , biochemistry , chemistry , quantum mechanics , gene , operating system

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