方法证据记录
Robust Canonical Correlation Analysis
Robust canonical correlation analysis extends classical CCA by replacing the standard sample covariance matrix with a robust estimator — such as the Minimum Covariance Determinant (MCD) or S-estimator — so that outlying observations do not distort the estimated canonical correlations and canonical variates between two sets of variables.
源记录
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Robust Canonical Correlation Analysis
分类方法记录 · latent-structure / statistics
- Croux, C. & Dehon, C. (2003). Robust estimation of the canonical correlations. Computational Statistics, 18(3), 555–569. · URL
- Canonical correlation. Wikipedia. · URL
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