| 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. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractDependenceMeasure
Abstract base class for dependence measures. 
 | 
class  | 
CorrelationDependenceMeasure
Pearson product-moment correlation coefficient. 
 | 
class  | 
DistanceCorrelationDependenceMeasure
Distance correlation. 
 | 
class  | 
HiCSDependenceMeasure
Use the statistical tests as used by HiCS to measure dependence of variables. 
 | 
class  | 
HoeffdingsDDependenceMeasure
Calculate Hoeffding's D as a measure of dependence. 
 | 
class  | 
HSMDependenceMeasure
Compute the "interestingness" of dimension connections using the hough
 transformation. 
 | 
class  | 
JensenShannonEquiwidthDependenceMeasure
Jensen-Shannon Divergence is closely related to mutual information. 
 | 
class  | 
MCEDependenceMeasure
Compute a mutual information based dependence measure using a nested means
 discretization, originally proposed for ordering axes in parallel coordinate
 plots. 
 | 
class  | 
MutualInformationEquiwidthDependenceMeasure
Mutual Information (MI) dependence measure by dividing each attribute into
 equal-width bins. 
 | 
class  | 
SlopeDependenceMeasure
Arrange dimensions based on the entropy of the slope spectrum. 
 | 
class  | 
SlopeInversionDependenceMeasure
Arrange dimensions based on the entropy of the slope spectrum. 
 | 
class  | 
SpearmanCorrelationDependenceMeasure
Spearman rank-correlation coefficient, also known as Spearmans Rho. 
 | 
class  | 
SURFINGDependenceMeasure
Compute the similarity of dimensions using the SURFING score. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
DependenceMeasure | 
OpenGL3DParallelCoordinates.Settings.sim
Similarity measure in use. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
(package private) DependenceMeasure | 
AbstractLayout3DPC.sim
Similarity measure 
 | 
(package private) DependenceMeasure | 
AbstractLayout3DPC.Parameterizer.sim
Similarity measure 
 | 
| Modifier and Type | Method and Description | 
|---|---|
DependenceMeasure | 
SimilarityBasedLayouter3DPC.getSimilarity()
Get the similarity measure to use. 
 | 
DependenceMeasure | 
AbstractLayout3DPC.getSimilarity()  | 
| Modifier and Type | Method and Description | 
|---|---|
static double[] | 
AbstractLayout3DPC.computeSimilarityMatrix(DependenceMeasure sim,
                       Relation<? extends NumberVector> rel)
Compute a column-wise dependency matrix for the given relation. 
 | 
| Constructor and Description | 
|---|
AbstractLayout3DPC(DependenceMeasure sim)
Constructor. 
 | 
CompactCircularMSTLayout3DPC(DependenceMeasure sim)
Constructor. 
 | 
MultidimensionalScalingMSTLayout3DPC(DependenceMeasure sim)
Constructor. 
 | 
SimpleCircularMSTLayout3DPC(DependenceMeasure sim)
Constructor. 
 | 
Copyright © 2019 ELKI Development Team. License information.