See: Description
Interface | Description |
---|---|
DependenceMeasure |
Measure the dependence of two variables.
|
Class | Description |
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AbstractDependenceMeasure |
Abstract base class for dependence measures.
|
CorrelationDependenceMeasure |
Pearson product-moment correlation coefficient.
|
CorrelationDependenceMeasure.Parameterizer |
Parameterization class
|
DistanceCorrelationDependenceMeasure |
Distance correlation.
|
DistanceCorrelationDependenceMeasure.Parameterizer |
Parameterization class
|
HiCSDependenceMeasure |
Use the statistical tests as used by HiCS to measure dependence of variables.
|
HiCSDependenceMeasure.Parameterizer |
Parameterization class.
|
HoeffdingsDDependenceMeasure |
Calculate Hoeffding's D as a measure of dependence.
|
HoeffdingsDDependenceMeasure.Parameterizer |
Parameterization class.
|
HSMDependenceMeasure |
Compute the similarity of dimensions by using a hough transformation.
|
HSMDependenceMeasure.Parameterizer |
Parameterization class.
|
JensenShannonEquiwidthDependenceMeasure |
Jensen-Shannon Divergence is closely related to mutual information.
|
JensenShannonEquiwidthDependenceMeasure.Parameterizer |
Parameterization class.
|
MCEDependenceMeasure |
Compute a mutual information based dependence measure using a nested means
discretization, originally proposed for ordering axes in parallel coordinate
plots.
|
MCEDependenceMeasure.Parameterizer |
Parameterization class.
|
MutualInformationEquiwidthDependenceMeasure |
Mutual Information (MI) dependence measure by dividing each attribute into
equal-width bins.
|
MutualInformationEquiwidthDependenceMeasure.Parameterizer |
Parameterization class.
|
SlopeDependenceMeasure |
Arrange dimensions based on the entropy of the slope spectrum.
|
SlopeDependenceMeasure.Parameterizer |
Parameterization class.
|
SlopeInversionDependenceMeasure |
Arrange dimensions based on the entropy of the slope spectrum.
|
SlopeInversionDependenceMeasure.Parameterizer |
Parameterization class.
|
SpearmanCorrelationDependenceMeasure |
Spearman rank-correlation coefficient, also known as Spearmans Rho.
|
SpearmanCorrelationDependenceMeasure.Parameterizer |
Parameterization class
|
SURFINGDependenceMeasure |
Compute the similarity of dimensions using the SURFING score.
|
SURFINGDependenceMeasure.Parameterizer |
Parameterization class.
|
Statistical measures of dependence, such as correlation.
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.