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 |
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AbstractLayout3DPC(DependenceMeasure sim)
Constructor.
|
CompactCircularMSTLayout3DPC(DependenceMeasure sim)
Constructor.
|
MultidimensionalScalingMSTLayout3DPC(DependenceMeasure sim)
Constructor.
|
SimpleCircularMSTLayout3DPC(DependenceMeasure sim)
Constructor.
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Copyright © 2019 ELKI Development Team. License information.