- j - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy
-
- j - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task
-
Second offset.
- Jaccard - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest
-
Jaccard interestingness measure:
\[\tfrac{\text{support}(A \cup B)}{\text{support}(A \cap B)}
=\tfrac{P(A \cap B)}{P(A)+P(B)-P(A \cap B)}
=\tfrac{P(A \cap B)}{P(A \cup B)}\]
Reference:
P.
- Jaccard() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.Jaccard
-
Constructor.
- jaccard() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting
-
Computes the Jaccard index
P.
- jaccardCoefficient(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Instance
-
Compute the Jaccard coefficient
- jaccardSimilarity(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
-
Compute the Jaccard similarity of two bit vectors.
- JaccardSimilarityDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.set
-
A flexible extension of Jaccard similarity to non-binary vectors.
- JaccardSimilarityDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
-
Constructor.
- JeffreyDivergenceDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
-
- JeffreyDivergenceDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
-
- JeffreyDivergenceDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
-
Parameterization class, using the static instance.
- JensenShannonDivergenceDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
-
- JensenShannonDivergenceDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction
-
- JensenShannonDivergenceDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
-
Parameterization class, using the static instance.
- JensenShannonEquiwidthDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Jensen-Shannon Divergence is closely related to mutual information.
- JensenShannonEquiwidthDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.JensenShannonEquiwidthDependenceMeasure
-
- JensenShannonEquiwidthDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Parameterization class.
- jitter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Maximum jitter for distance values.
- jitter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
-
Maximum jitter for distance values.
- jitter - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter
-
Jitter amount.
- jitter - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter.Parameterizer
-
Jitter amount.
- JITTER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
-
Parameter to specify the maximum jitter for distance values, must be a
double greater than 0.
- JITTER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter.Parameterizer
-
Option ID for the jitter strength.
- JMeasure - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest
-
J-Measure interestingness measure.
- JMeasure() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest.JMeasure
-
Constructor.
- join(CLIQUESubspace, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
-
Joins this subspace and its dense units with the specified subspace and its
dense units.
- join(CLIQUEUnit, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
-
Joins this unit with the specified unit.
- join(Subspace) - Method in class de.lmu.ifi.dbs.elki.data.Subspace
-
Joins this subspace with the specified subspace.
- joinEnumNames(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter
-
Utility method for merging possible values into a string for informational
messages.
- joinLastDimensions(Subspace) - Method in class de.lmu.ifi.dbs.elki.data.Subspace
-
Joins the dimensions of this subspace with the dimensions of the specified
subspace.
- JSVGSynchronizedCanvas - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
An JSVGCanvas that allows easier synchronization of Updates for SVGPlot
objects.
- JSVGSynchronizedCanvas() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas
-
Constructor
- JSVGUpdateSynchronizer - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
This class is used to synchronize SVG updates with an JSVG canvas.
- JSVGUpdateSynchronizer(JSVGComponent) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer
-
Create an updateSynchronizer for the given component.
- JSVGUpdateSynchronizer.UMAdapter - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
Adapter that will track the component for UpdateManager changes.
- JudgeOutlierScores - Class in de.lmu.ifi.dbs.elki.evaluation.outlier
-
Compute a Histogram to evaluate a ranking algorithm.
- JudgeOutlierScores(Pattern, ScalingFunction) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores
-
Constructor.
- JudgeOutlierScores.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier
-
Parameterization class.
- JudgeOutlierScores.ScoreResult - Class in de.lmu.ifi.dbs.elki.evaluation.outlier
-
Result object for outlier score judgements.
