| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.math.statistics.dependence |
Statistical measures of dependence, such as correlation.
|
| Class and Description |
|---|
| AbstractDependenceMeasure
Abstract base class for dependence measures.
|
| CorrelationDependenceMeasure
Pearson product-moment 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 similarity of dimensions by using a hough transformation.
|
| JensenShannonEquiwidthDependenceMeasure
Jensen-Shannon 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
equal-width 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 rank-correlation coefficient, also known as Spearmans Rho.
|
| SURFINGDependenceMeasure
Compute the similarity of dimensions using the SURFING score.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.