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Robust Canonical Correlation Analysis/Evidence
Method evidence record

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.

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Robust Canonical Correlation Analysis
Taxonomic method record · 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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Related methods

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Same method familyCanonical Correlation Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainRobust Discriminant Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRobust Exploratory Factor Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multidimensional Scalingmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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