Open AccessPrincipal 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