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| rdfs | http://www.w3.org/2000/01/rdf-schema# |
| rdf | http://www.w3.org/1999/02/22-rdf-syntax-ns# |
| xsdh | http://www.w3.org/2001/XMLSchema# |
| dbpedia | http://dbpedia.org/resource/ |
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- dbpedia:Canonical_correlation
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In statistics, canonical-correlation analysis (CCA) is a way of making sense of cross-covariance matrices. If we have two vectors X = (X1, ..., Xn) and Y = (Y1, ..., Ym) of random variables, and there are correlations among the variables, then canonical-correlation analysis will find linear combinations of the Xi and Yj which have maximum correlation with each other. T. R.