Package  Description 

de.lmu.ifi.dbs.elki.math.statistics.dependence 
Statistical measures of dependence, such as correlation

de.lmu.ifi.dbs.elki.visualization.parallel3d 
3DPC: 3D parallel coordinate plot visualization for ELKI.

de.lmu.ifi.dbs.elki.visualization.parallel3d.layout 
Layouting algorithms for 3D parallel coordinate plots.

Class and Description 

AbstractDependenceMeasure
Abstract base class for dependence measures.

CorrelationDependenceMeasure
Pearson productmoment correlation coefficient.

DependenceMeasure
Measure the dependence of two variables.

DistanceCorrelationDependenceMeasure
Distance correlation.

HiCSDependenceMeasure
Use the statistical tests as used by HiCS to measure dependence of variables.

HoeffdingsDDependenceMeasure
Calculate Hoeffding's D as a measure of dependence.

HSMDependenceMeasure
Compute the "interestingness" of dimension connections using the hough
transformation.

JensenShannonEquiwidthDependenceMeasure
JensenShannon Divergence is closely related to mutual information.

MCEDependenceMeasure
Compute a mutual information based dependence measure using a nested means
discretization, originally proposed for ordering axes in parallel coordinate
plots.

MutualInformationEquiwidthDependenceMeasure
Mutual Information (MI) dependence measure by dividing each attribute into
equalwidth bins.

SlopeDependenceMeasure
Arrange dimensions based on the entropy of the slope spectrum.

SlopeInversionDependenceMeasure
Arrange dimensions based on the entropy of the slope spectrum.

SpearmanCorrelationDependenceMeasure
Spearman rankcorrelation coefficient, also known as Spearmans Rho.

SURFINGDependenceMeasure
Compute the similarity of dimensions using the SURFING score.

Class and Description 

DependenceMeasure
Measure the dependence of two variables.

Class and Description 

DependenceMeasure
Measure the dependence of two variables.

Copyright © 2019 ELKI Development Team. License information.