Open AccessPrincipal Component Analysis with Coefficient of Variation Matrix
Author(s) -
Ji Hyun Kim
Publication year - 2015
Publication title -
eung'yong tong'gye yeon'gu/the korean journal of applied statistics
Language(s) - English
Resource type - Journals
eISSN - 2383-5818
pISSN - 1225-066X
DOI - 10.5351/kjas.2015.28.3.385
Subject(s) - principal component analysis , standard deviation , statistics , mathematics , dimension (graph theory) , variable (mathematics) , dimensionality reduction , design matrix , variation (astronomy) , matrix (chemical analysis) , variables , sparse pca , data matrix , unit (ring theory) , independent component analysis , computer science , artificial intelligence , regression analysis , mathematical analysis , combinatorics , clade , biochemistry , physics , materials science , astrophysics , composite material , gene , phylogenetic tree , mathematics education , chemistry