Sparse and smooth canonical correlation analysis through rank-1 matrix approximation
نویسندگان
چکیده
منابع مشابه
Sparse and smooth canonical correlation analysis through rank-1 matrix approximation
Canonical correlation analysis (CCA) is a well-known technique used to characterize the relationship between two sets of multidimensional variables by finding linear combinations of variables with maximal correlation. Sparse CCA and smooth or regularized CCA are two widely used variants of CCA because of the improved interpretability of the former and the better performance of the later. So far...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2017
ISSN: 1687-6180
DOI: 10.1186/s13634-017-0459-y