非线性与线性典型相关分析的对比实验

The Contrast Experiment of Canonical Correlation Analysis Between Nonlinear and Linear

线性典型相关分析揭示了两组变量间潜在的线性关系,但实际应用中,变量之间往往还潜在着非线性关系。主要研究非线性典型相关分析算法,揭示变量间潜在的非线性关系,并通过非线性与线性典型相关分析对比实验,验证其优良性能。

Linear canonical correlation analysis reveals potential linear relationship between two groups of variables, but in practical application, there is also potential nonlinear relationship between variables. The paper studies the nonlinear canonical correlation analysis algorithm, re- veals variables＇ potential nonlinear relationships, and verifies their good performance through the contrast experiment.