Open AccessEfficient Algorithms for Maximum Covariance Analysis of Datasets with Many Variables and Fewer Realizations: A Revisit
Author(s) -
Ruping Mo
Publication year - 2003
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/1520-0426(2003)020<1804:eafmca>2.0.co;2
Subject(s) - singular value decomposition , algorithm , principal component analysis , covariance , covariance matrix , eigenvalues and eigenvectors , matrix decomposition , computer science , eigendecomposition of a matrix , qr decomposition , decomposition , factorization , mathematics , statistics , artificial intelligence , ecology , physics , quantum mechanics , biology