Model-based principal components of correlation matrices
نویسندگان
چکیده
منابع مشابه
Canonical Correlation & Principal Components Analysis
Canonical Correlation is one of the most general of the multivariate techniques. It is used to investigate the overall correlation between two sets of variables (p’ and q’). The basic principle behind canonical correlation is determining how much variance in one set of variables is accounted for by the other set along one or more axes. If there is more than one axis, they must be orthogonal. Un...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2013
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2012.11.017