Package elki.math.statistics.dependence
Statistical measures of dependence, such as correlation.

Interface Summary Interface Description Dependence Measure the dependence of two variables. 
Class Summary Class Description DCor Distance correlation.DCor.Par Parameterization classDependence.Utils Utility functions that were previously in the abstract class.HiCSDependence Use the statistical tests as used by HiCS to measure dependence of variables.HiCSDependence.Par Parameterization class.HoeffdingsD Calculate Hoeffding's D as a measure of dependence.HoeffdingsD.Par Parameterization class.HoughSpaceMeasure HSM: Compute the "interestingness" of dimension connections using the Hough transformation.HoughSpaceMeasure.Par Parameterization class.JensenShannonEquiwidthDependence JensenShannon Divergence is closely related to mutual information.JensenShannonEquiwidthDependence.Par Parameterization class.MaximumConditionalEntropy Compute a mutual information based dependence measure using a nested means discretization, originally proposed for ordering axes in parallel coordinate plots.MaximumConditionalEntropy.Par Parameterization class.MCDEDependence Implementation of bivariate Monte Carlo Density Estimation as described inMCDEDependence.Par ParameterizerMutualInformationEquiwidthDependence Mutual Information (MI) dependence measure by dividing each attribute into equalwidth bins.MutualInformationEquiwidthDependence.Par Parameterization class.PearsonCorrelationDependence Pearson productmoment correlation coefficient.PearsonCorrelationDependence.Par Parameterization classSlopeDependence Arrange dimensions based on the entropy of the slope spectrum.SlopeDependence.Par Parameterization class.SlopeInversionDependence Arrange dimensions based on the entropy of the slope spectrum.SlopeInversionDependence.Par Parameterization class.SpearmanCorrelationDependence Spearman rankcorrelation coefficient, also known as Spearmans Rho.SpearmanCorrelationDependence.Par Parameterization classSURFINGDependence Compute the similarity of dimensions using the SURFING score.SURFINGDependence.Par Parameterization class.