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- RV_coefficient abstract "In statistics, the RV coefficientis a multivariate generalization of the squared Pearson correlation coefficient (because the RV coefficient takes values between 0 and 1). It measures the closeness of two set of points that may each be represented in a matrix.The major approaches within statistical multivariate data analysis can all be brought into a common framework in which the RV coefficient is maximised subject to relevant constraints. Specifically, these statistical methodologies include:principal component analysiscanonical correlation analysismultivariate regressionstatistical classification (linear discrimination).One application of the RV coefficient is in functional neuroimaging where it can measure the similarity between two subjects' series of brain scansor between different scans of a same subject.".
- RV_coefficient wikiPageID "22002641".
- RV_coefficient wikiPageRevisionID "526584762".
- RV_coefficient hasPhotoCollection RV_coefficient.
- RV_coefficient subject Category:Covariance_and_correlation.
- RV_coefficient subject Category:Multivariate_statistics.
- RV_coefficient comment "In statistics, the RV coefficientis a multivariate generalization of the squared Pearson correlation coefficient (because the RV coefficient takes values between 0 and 1). It measures the closeness of two set of points that may each be represented in a matrix.The major approaches within statistical multivariate data analysis can all be brought into a common framework in which the RV coefficient is maximised subject to relevant constraints.".
- RV_coefficient label "RV coefficient".
- RV_coefficient sameAs m.05p4s3s.
- RV_coefficient sameAs Q7278080.
- RV_coefficient sameAs Q7278080.
- RV_coefficient wasDerivedFrom RV_coefficient?oldid=526584762.
- RV_coefficient isPrimaryTopicOf RV_coefficient.