Representation-Constrained Canonical Correlation Analysis: A Hybridization of Canonical Correlation and Principal Component Analyses
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: SSRN Electronic Journal
سال: 2009
ISSN: 1556-5068
DOI: 10.2139/ssrn.1331886