Kernel Canonical Correlation Analysis (KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.

针对该问题，采用核典型相关分析方法进行原始特征的二次提取，得到简约而重要的二次特征。

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Kernel Canonical Correlation Analysis (KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.

针对该问题，采用核典型相关分析方法进行原始特征的二次提取，得到简约而重要的二次特征。

youdao