Kernel Generalized Canonical Correlation Analysis
نویسندگان
چکیده
منابع مشابه
Kernel Generalized Canonical Correlation Analysis
A classical problem in statistics is to study relationships between several blocks of variables. The goal is to find variables of one block directly related to variables of other blocks. The Regularized Generalized Canonical Correlation Analysis (RGCCA) is a very attractive framework to study such a kind of relationships between blocks. However, RGCCA captures linear relations between blocks an...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2015
ISSN: 0167-9473
DOI: 10.1016/j.csda.2015.04.004