A B C D E F G H I J K L M N O P Q R S T U V W
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- AbstractDistanceBasedApplication<O> - Class in elki.application
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Abstract base class for distance-based tasks and experiments.
- AbstractDistanceBasedApplication(InputStep, Distance<? super O>) - Constructor for class elki.application.AbstractDistanceBasedApplication
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Constructor.
- AbstractProjectionAlgorithm<R> - Class in elki.projection
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Abstract base class for projection algorithms.
- AbstractProjectionAlgorithm(boolean) - Constructor for class elki.projection.AbstractProjectionAlgorithm
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Constructor.
- AddSingleScale - Class in elki.algorithm.statistics
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Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
- AddSingleScale(double[]) - Constructor for class elki.algorithm.statistics.AddSingleScale
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Constructor.
- AddSingleScale.Par - Class in elki.algorithm.statistics
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Parameterization class.
- AddUniformScale - Class in elki.algorithm.statistics
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Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
- AddUniformScale() - Constructor for class elki.algorithm.statistics.AddUniformScale
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Constructor.
- adjust - Variable in class elki.clustering.correlation.CASH
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Apply adjustment heuristic for interval choosing.
- adjust - Variable in class elki.clustering.correlation.CASH.Par
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Apply adjustment heuristic for interval choosing.
- ADJUST_ID - Static variable in class elki.clustering.correlation.CASH.Par
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Flag to indicate that an adjustment of the applied heuristic for choosing an interval is performed after an interval is selected.
- affinity - Variable in class elki.projection.SNE
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Affinity matrix builder.
- affinity - Variable in class elki.projection.TSNE
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Affinity matrix builder.
- AffinityMatrix - Interface in elki.projection
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Abstraction interface for an affinity matrix.
- AffinityMatrixBuilder<O> - Interface in elki.projection
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Interface for computing an affinity matrix.
- agg - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
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Aggregation method.
- agg - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
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Aggregation method.
- aggregate(double[]) - Method in enum elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
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Aggregate values.
- Aggregate() - Constructor for enum elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
- AGGREGATE_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
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Aggregation method.
- alg - Variable in class elki.application.experiments.ORLibBenchmark
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Clustering algorithm
- alg - Variable in class elki.application.experiments.ORLibBenchmark.Par
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Clustering algorithm
- algorithm - Variable in class elki.outlier.subspace.OutRankS1.Par
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Clustering algorithm to run.
- ALGORITHM_ID - Static variable in class elki.outlier.subspace.OutRankS1.Par
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Clustering algorithm to use.
- ALGORITHM_ID - Static variable in class elki.workflow.AlgorithmStep.Par
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Parameter to specify the algorithm to run.
- algorithms - Variable in class elki.workflow.AlgorithmStep
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Holds the algorithm to run.
- algorithms - Variable in class elki.workflow.AlgorithmStep.Par
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Holds the algorithm to run.
- algorithmStep - Variable in class elki.KDDTask
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The algorithm (data mining) step.
- algorithmStep - Variable in class elki.KDDTask.Par
- AlgorithmStep - Class in elki.workflow
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The "algorithms" step, where data is analyzed.
- AlgorithmStep(List<? extends Algorithm>) - Constructor for class elki.workflow.AlgorithmStep
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Constructor.
- AlgorithmStep.Par - Class in elki.workflow
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Parameterization class.
- allShortestPaths(int, double[]) - Static method in class elki.application.experiments.ORLibBenchmark
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Floyd's all-pairs shortest paths
- alpha - Variable in class elki.outlier.clustering.CBLOF
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The ratio of the size that separates the large clusters from the small clusters.
- alpha - Variable in class elki.outlier.subspace.OutRankS1
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Weighting parameter of size vs. dimensionality score.
- alpha - Variable in class elki.outlier.subspace.OutRankS1.Par
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Alpha parameter to balance parameters
- ALPHA_ID - Static variable in class elki.outlier.subspace.OutRankS1.Par
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Alpha parameter for S1
- alphaExtremum - Variable in class elki.clustering.correlation.cash.ParameterizationFunction
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Holds the alpha values of the global extremum.
- applyPrescaling(ScalingFunction, Relation<NumberVector>, DBIDs) - Static method in class elki.application.greedyensemble.GreedyEnsembleExperiment
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Prescale each vector (except when in
skip) with the given scaling function. - applyScaling(double[], ScalingFunction) - Static method in class elki.application.greedyensemble.GreedyEnsembleExperiment
- APRIORI - elki.clustering.subspace.DiSH.Strategy
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Apriori strategy.
- auroc - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult
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AUROC value
- autoEvaluateClusterings(Object) - Method in class elki.evaluation.AutomaticEvaluation
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Automatically evaluate clustering results.
- autoEvaluateOutliers(Object) - Method in class elki.evaluation.AutomaticEvaluation
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Automatically evaluate outlier results.
- AutomaticEvaluation - Class in elki.evaluation
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Evaluator that tries to auto-run a number of evaluation methods.
- AutomaticEvaluation() - Constructor for class elki.evaluation.AutomaticEvaluation
- AutomaticEvaluation.Par - Class in elki.evaluation
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Parameterization class
- autoopen - Variable in class elki.result.KMLOutputHandler
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Automatically open at the end
- autoopen - Variable in class elki.result.KMLOutputHandler.Par
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Automatically open at the end
- AUTOOPEN_ID - Static variable in class elki.result.KMLOutputHandler.Par
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Parameter for automatically opening the output file.
- autorun(Database) - Method in class elki.algorithm.KNNJoin
- autorun(Database) - Method in class elki.algorithm.NullAlgorithm
- autorun(Database) - Method in class elki.outlier.clustering.KMeansMinusMinusOutlierDetection
- autorun(Database) - Method in class elki.outlier.clustering.NoiseAsOutliers
- autorun(Database) - Method in class elki.outlier.clustering.SilhouetteOutlierDetection
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Run the Silhouette score as outlier method.
- autorun(Database) - Method in class elki.outlier.subspace.OutRankS1
- autorun(Database) - Method in class elki.projection.SNE
- autorun(Database) - Method in class elki.projection.TSNE
- AveragePrecisionAtK<O> - Class in elki.algorithm.statistics
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Evaluate a distance functions performance by computing the average precision at k, when ranking the objects by distance.
- AveragePrecisionAtK(Distance<? super O>, int, double, RandomFactory, boolean) - Constructor for class elki.algorithm.statistics.AveragePrecisionAtK
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Constructor.
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