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J
- j - Variable in class elki.algorithm.KNNJoin.Task
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Second offset.
- j - Variable in class elki.clustering.correlation.ORCLUS.ProjectedEnergy
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Origin cluster indexes
- jaccard() - Method in class elki.evaluation.clustering.PairCounting
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Computes the Jaccard index
- Jaccard - Class in elki.itemsetmining.associationrules.interest
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Jaccard interestingness measure:
- Jaccard() - Constructor for class elki.itemsetmining.associationrules.interest.Jaccard
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Constructor.
- jaccardCoefficient(DBIDs, DBIDs) - Static method in class elki.distance.SharedNearestNeighborJaccardDistance.Instance
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Compute the Jaccard coefficient
- jaccardSimilarity(BitVector) - Method in class elki.data.BitVector
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Compute the Jaccard similarity of two bit vectors.
- JaccardSimilarityDistance - Class in elki.distance.set
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A flexible extension of Jaccard similarity to non-binary vectors.
- JaccardSimilarityDistance() - Constructor for class elki.distance.set.JaccardSimilarityDistance
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Constructor.
- JeffreyDivergenceDistance - Class in elki.distance.probabilistic
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Jeffrey Divergence for
NumberVectors is a symmetric, smoothened version of theKullbackLeiblerDivergenceAsymmetricDistance. - JeffreyDivergenceDistance() - Constructor for class elki.distance.probabilistic.JeffreyDivergenceDistance
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Deprecated.Use static instance!
- JeffreyDivergenceDistance.Par - Class in elki.distance.probabilistic
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Parameterization class, using the static instance.
- JensenShannonDivergenceDistance - Class in elki.distance.probabilistic
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Jensen-Shannon Divergence for
NumberVectors is a symmetric, smoothened version of theKullbackLeiblerDivergenceAsymmetricDistance. - JensenShannonDivergenceDistance() - Constructor for class elki.distance.probabilistic.JensenShannonDivergenceDistance
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Deprecated.Use static instance!
- JensenShannonDivergenceDistance.Par - Class in elki.distance.probabilistic
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Parameterization class, using the static instance.
- JensenShannonEquiwidthDependence - Class in elki.math.statistics.dependence
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Jensen-Shannon Divergence is closely related to mutual information.
- JensenShannonEquiwidthDependence() - Constructor for class elki.math.statistics.dependence.JensenShannonEquiwidthDependence
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Constructor - use
JensenShannonEquiwidthDependence.STATICinstance. - JensenShannonEquiwidthDependence.Par - Class in elki.math.statistics.dependence
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Parameterization class.
- jitter - Variable in class elki.clustering.correlation.CASH
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Maximum jitter for distance values.
- jitter - Variable in class elki.clustering.correlation.CASH.Par
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Maximum jitter for distance values.
- jitter - Variable in class elki.datasource.filter.transform.HistogramJitterFilter
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Jitter amount.
- jitter - Variable in class elki.datasource.filter.transform.HistogramJitterFilter.Par
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Jitter amount.
- JITTER_ID - Static variable in class elki.clustering.correlation.CASH.Par
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Parameter to specify the maximum jitter for distance values, must be a double greater than 0.
- JITTER_ID - Static variable in class elki.datasource.filter.transform.HistogramJitterFilter.Par
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Option ID for the jitter strength.
- JMeasure - Class in elki.itemsetmining.associationrules.interest
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J-Measure interestingness measure.
- JMeasure() - Constructor for class elki.itemsetmining.associationrules.interest.JMeasure
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Constructor.
- join(CLIQUESubspace, double, double) - Method in class elki.clustering.subspace.clique.CLIQUESubspace
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Joins this subspace and its dense units with the specified subspace and its dense units.
- join(CLIQUEUnit, double, double) - Method in class elki.clustering.subspace.clique.CLIQUEUnit
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Joins this unit with the specified unit.
- join(Subspace) - Method in class elki.data.Subspace
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Joins this subspace with the specified subspace.
- joinEnumNames(String) - Method in class elki.utilities.optionhandling.parameters.EnumParameter
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Utility method for merging possible values into a string for informational messages.
- joinLastDimensions(Subspace) - Method in class elki.data.Subspace
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Joins the dimensions of this subspace with the dimensions of the specified subspace.
- jointNMI() - Method in class elki.evaluation.clustering.Entropy
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Get the joint-normalized mutual information.
- JPEG - elki.result.ExportVisualizations.Format
- JSVGSynchronizedCanvas - Class in elki.visualization.batikutil
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An JSVGCanvas that allows easier synchronization of Updates for SVGPlot objects.
- JSVGSynchronizedCanvas() - Constructor for class elki.visualization.batikutil.JSVGSynchronizedCanvas
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Constructor
- JSVGUpdateSynchronizer - Class in elki.visualization.batikutil
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This class is used to synchronize SVG updates with an JSVG canvas.
- JSVGUpdateSynchronizer(JSVGComponent) - Constructor for class elki.visualization.batikutil.JSVGUpdateSynchronizer
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Create an updateSynchronizer for the given component.
- JSVGUpdateSynchronizer.UMAdapter - Class in elki.visualization.batikutil
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Adapter that will track the component for UpdateManager changes.
- JudgeOutlierScores - Class in elki.evaluation.outlier
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Compute a Histogram to evaluate a ranking algorithm.
- JudgeOutlierScores(Pattern, ScalingFunction) - Constructor for class elki.evaluation.outlier.JudgeOutlierScores
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Constructor.
- JudgeOutlierScores.Par - Class in elki.evaluation.outlier
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Parameterization class.
- JudgeOutlierScores.ScoreResult - Class in elki.evaluation.outlier
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Result object for outlier score judgements.
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