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 class
Dependence.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	Jensen-Shannon 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 in
MCDEDependence.Par	Parameterizer
MutualInformationEquiwidthDependence	Mutual Information (MI) dependence measure by dividing each attribute into equal-width bins.
MutualInformationEquiwidthDependence.Par	Parameterization class.
PearsonCorrelationDependence	Pearson product-moment correlation coefficient.
PearsonCorrelationDependence.Par	Parameterization class
SlopeDependence	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 rank-correlation coefficient, also known as Spearmans Rho.
SpearmanCorrelationDependence.Par	Parameterization class
SURFINGDependence	Compute the similarity of dimensions using the SURFING score.
SURFINGDependence.Par	Parameterization class.