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F

f - Variable in class elki.math.geodesy.AbstractEarthModel
Model parameters: flattening, inverse flattening.
f_maxima - Variable in class elki.clustering.correlation.cash.CASHIntervalSplit
Caches maximum function values for given intervals, used for better split performance.
f_minima - Variable in class elki.clustering.correlation.cash.CASHIntervalSplit
Caches minimum function values for given intervals, used for better split performance.
F1 - Static variable in class elki.math.statistics.distribution.estimator.RayleighMADEstimator
See reference for the derivation of this constants.
f1Measure() - Method in class elki.evaluation.clustering.BCubed
Get the BCubed F1-Measure
f1Measure() - Method in class elki.evaluation.clustering.EditDistance
Get the edit distance F1-Measure
f1Measure() - Method in class elki.evaluation.clustering.PairCounting
Get the pair-counting F1-Measure.
f1Measure() - Method in class elki.evaluation.clustering.SetMatchingPurity
Get the set matching F1-Measure
F2 - Static variable in class elki.math.statistics.distribution.estimator.RayleighMADEstimator
See reference for the derivation of this constants.
factor - Variable in class elki.math.geometry.GrahamScanConvexHull2D
Scaling factor if we have very small polygons.
factor - Variable in class elki.utilities.datastructures.range.ExponentialIntGenerator
Step factor.
factor - Variable in class elki.utilities.scaling.LinearScaling
Scaling factor
factor - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling
Scaling factor to use (1/ max - min)
factor - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling
Scaling factor
factor - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
Effective parameters.
factor - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling
Scaling factor to use (usually: Lambda * Stddev * Sqrt(2))
factor(int) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
Returns a factor for normalization in a certain dimension.
factorial(int) - Static method in class elki.math.MathUtil
Compute the Factorial of n, often written as c!
factories - Variable in class elki.visualization.VisualizerContext
Factories to use
factories - Variable in class elki.visualization.VisualizerParameterizer
Projections and visualization factories.
factories - Variable in class elki.visualization.VisualizerParameterizer.Par
Visualizer factories
factory - Variable in class elki.data.projection.FeatureSelection
Object factory.
factory - Variable in class elki.data.projection.LatLngToECEFProjection
Vector factory to use.
factory - Variable in class elki.data.projection.LngLatToECEFProjection
Vector factory to use.
factory - Variable in class elki.data.projection.NumericalFeatureSelection
Object factory.
factory - Variable in class elki.data.projection.RandomProjection
Vector factory.
factory - Variable in class elki.data.type.VectorTypeInformation
Object factory for producing new instances.
factory - Variable in class elki.datasource.filter.AbstractVectorConversionFilter
Number vector factory.
factory - Variable in class elki.datasource.filter.AbstractVectorStreamConversionFilter
Number vector factory.
factory - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
Number vector factory.
factory - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
Number vector factory.
factory - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
Number vector factory.
factory - Variable in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
Vector factory.
factory - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
Vector factory.
factory - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par
Vector factory.
factory - Variable in class elki.datasource.filter.transform.LatLngToECEFFilter
Vector factory to use.
factory - Variable in class elki.datasource.filter.transform.LngLatToECEFFilter
Vector factory to use.
factory - Variable in class elki.datasource.parser.NumberVectorLabelParser
Vector factory class.
factory - Variable in class elki.datasource.parser.NumberVectorLabelParser.Par
Factory object.
factory - Variable in class elki.index.tree.betula.CFTree
Cluster feature factory
factory - Variable in class elki.index.tree.betula.CFTree.Factory
Cluster feature factory
factory - Variable in class elki.index.tree.betula.CFTree.Factory.Par
Cluster feature factory
factory - Variable in class elki.similarity.AbstractIndexBasedSimilarity.Par
The index factory we use.
factory - Variable in class elki.visualization.VisualizationTask
The factory
Factory() - Constructor for class elki.data.BitVector.Factory
 
Factory() - Constructor for class elki.data.ByteVector.Factory
 
Factory() - Constructor for class elki.data.ClassLabel.Factory
 
Factory() - Constructor for class elki.data.DoubleVector.Factory
 
Factory() - Constructor for class elki.data.FloatVector.Factory
 
Factory() - Constructor for class elki.data.HierarchicalClassLabel.Factory
 
Factory() - Constructor for class elki.data.IntegerVector.Factory
 
Factory() - Constructor for class elki.data.OneDimensionalDoubleVector.Factory
 
Factory() - Constructor for class elki.data.ShortVector.Factory
 
Factory() - Constructor for class elki.data.SimpleClassLabel.Factory
 
Factory() - Constructor for class elki.data.SparseByteVector.Factory
 
Factory() - Constructor for class elki.data.SparseDoubleVector.Factory
 
Factory() - Constructor for class elki.data.SparseFloatVector.Factory
 
Factory() - Constructor for class elki.data.SparseIntegerVector.Factory
 
Factory() - Constructor for class elki.data.SparseShortVector.Factory
 
Factory() - Constructor for class elki.data.uncertain.SimpleGaussianContinuousUncertainObject.Factory
 
Factory() - Constructor for class elki.data.uncertain.UniformContinuousUncertainObject.Factory
 
Factory() - Constructor for class elki.data.uncertain.UnweightedDiscreteUncertainObject.Factory
 
Factory() - Constructor for class elki.data.uncertain.WeightedDiscreteUncertainObject.Factory
 
Factory() - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex.Factory
 
Factory() - Constructor for class elki.index.tree.betula.features.BIRCHCF.Factory
 
Factory() - Constructor for class elki.index.tree.betula.features.VIIFeature.Factory
 
Factory() - Constructor for class elki.index.tree.betula.features.VVIFeature.Factory
 
Factory() - Constructor for class elki.index.tree.betula.features.VVVFeature.Factory
 
Factory() - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory
Constructor.
Factory() - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory
Constructor.
Factory() - Constructor for class elki.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood.Factory
 
Factory(double, int, RandomProjectionFamily, RandomFactory) - Constructor for class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory
Constructor.
Factory(int) - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory
Constructor.
Factory(int) - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory
Constructor.
Factory(int, int) - Constructor for class elki.index.vafile.PartialVAFile.Factory
Constructor.
Factory(int, int) - Constructor for class elki.index.vafile.VAFile.Factory
Constructor.
Factory(int, Distance<? super NumberVector>) - Constructor for class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Index factory.
Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory
Index factory.
Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<? super O>) - Constructor for class elki.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
Factory Constructor
Factory(int, Distance<? super O>, double, RandomFactory) - Constructor for class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<? super O>, int, RandomFactory) - Constructor for class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<? super O>, RandomFactory, double, double, boolean, int) - Constructor for class elki.index.preprocessed.knn.NNDescent.Factory
Constructor.
Factory(int, Distance<? super O>, Path) - Constructor for class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
Index factory.
Factory(int, Distance<? super V>, List<? extends SpatialSorter>, double, int, RandomFactory) - Constructor for class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory
Constructor.
Factory(int, Distance<O>) - Constructor for class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Constructor.
Factory(BIRCHDistance, BIRCHAbsorptionCriterion, double, int, double) - Constructor for class elki.clustering.hierarchical.birch.CFTree.Factory
Constructor.
Factory(Projection<O, I>, IndexFactory<I>, boolean, boolean, double) - Constructor for class elki.index.projected.ProjectedIndex.Factory
Constructor.
Factory(Distance<? super O>) - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix.Factory
Constructor.
Factory(Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory
Constructor.
Factory(Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.CoverTree.Factory
Constructor.
Factory(Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory
Constructor.
Factory(Distance<? super O>, int, int, RandomFactory) - Constructor for class elki.index.laesa.LAESA.Factory
Constructor.
Factory(Distance<? super O>, RandomFactory, int) - Constructor for class elki.index.tree.metrical.vptree.GNAT.Factory
Constructor.
Factory(Distance<? super O>, RandomFactory, int, int) - Constructor for class elki.index.tree.metrical.vptree.VPTree.Factory
Constructor.
Factory(Distance<? super V>, KMedoidsInitialization<V>, int) - Constructor for class elki.index.idistance.InMemoryIDistanceIndex.Factory
Constructor.
Factory(IndexFactory<O>, boolean, boolean, EarthModel) - Constructor for class elki.index.projected.LatLngAsECEFIndex.Factory
Constructor.
Factory(IndexFactory<O>, boolean, boolean, EarthModel) - Constructor for class elki.index.projected.LngLatAsECEFIndex.Factory
Constructor.
Factory(ClusterFeature.Factory<L>, CFDistance, CFDistance, double, int, double, CFTree.Threshold) - Constructor for class elki.index.tree.betula.CFTree.Factory
Constructor.
Factory(SplitStrategy, int) - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree.Factory
Constructor.
Factory(NeighborSetPredicate.Factory<O>) - Constructor for class elki.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory
Constructor.
Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory
Constructor.
Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory
Constructor.
Factory(Similarity<? super O>) - Constructor for class elki.index.distancematrix.PrecomputedSimilarityMatrix.Factory
Constructor.
Factory(URI) - Constructor for class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory
Constructor.
Factory(List<? extends SpatialSorter>, double, int, int, RandomProjectionFamily, RandomFactory) - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory
Constructor.
FACTORY - Static variable in class elki.data.BitVector
Static instance.
FACTORY - Static variable in class elki.data.DoubleVector
Static factory instance.
FACTORY - Static variable in class elki.data.FloatVector
Static factory instance.
FACTORY - Static variable in class elki.data.SparseByteVector
Static instance.
FACTORY - Static variable in class elki.data.SparseDoubleVector
Static instance.
FACTORY - Static variable in class elki.data.SparseFloatVector
Static instance.
FACTORY - Static variable in class elki.data.SparseIntegerVector
Static instance.
FACTORY - Static variable in class elki.data.SparseShortVector
Static instance.
FACTORY - Static variable in class elki.data.uncertain.SimpleGaussianContinuousUncertainObject
Vector factory.
FACTORY - Static variable in class elki.data.uncertain.UniformContinuousUncertainObject
Vector factory.
FACTORY - Static variable in class elki.data.uncertain.UnweightedDiscreteUncertainObject
Vector factory.
FACTORY - Static variable in class elki.data.uncertain.WeightedDiscreteUncertainObject
Vector factory.
FACTORY - Static variable in interface elki.database.datastore.DataStoreFactory
Static storage factory
FACTORY - Static variable in interface elki.database.ids.DBIDFactory
Static DBID factory to use.
FACTORY_FILE_EXT - Static variable in class elki.utilities.ELKIServiceScanner.DirClassIterator
 
FACTORY_METHOD_NAME - Static variable in class elki.utilities.ClassGenericsUtil
Name for a static "parameterize" factory method.
FACTORY_POSTFIX - Static variable in class elki.utilities.ELKIServiceRegistry
Factory class postfix.
FACTORY_POSTFIX - Static variable in class elki.utilities.ELKIServiceScanner
Factory class postfix.
FAILED_LOAD - Static variable in class elki.utilities.ELKIServiceRegistry
Value to abuse for failures.
failOnErrors() - Method in class elki.utilities.optionhandling.parameterization.AbstractParameterization
Fail on errors, log any error that had occurred.
fallback - Variable in class elki.result.textwriter.TextWriter
Fallback writer for unknown objects.
fallbackwriter - Variable in class elki.result.textwriter.TextWriterStream
Fallback writer, using toString.
FALSE - Static variable in class elki.data.Bit
False bit.
falseNegatives(int) - Method in class elki.evaluation.classification.ConfusionMatrix
The false negatives for the specified class.
falsePositiveRate() - Method in class elki.evaluation.classification.ConfusionMatrix
Provides the false positive rate.
falsePositiveRate(int) - Method in class elki.evaluation.classification.ConfusionMatrix
Provides the false positive rate for the specified class.
falsePositives(int) - Method in class elki.evaluation.classification.ConfusionMatrix
The false positives for the specified class.
family - Variable in class elki.data.projection.RandomProjection
Random projection family
family - Variable in class elki.data.projection.RandomProjection.Par
Random generator.
family - Variable in class elki.index.lsh.InMemoryLSHIndex
LSH hash function family to use.
family - Variable in class elki.index.lsh.InMemoryLSHIndex.Par
LSH hash function family to use.
FAMILY_ID - Static variable in class elki.data.projection.RandomProjection.Par
Parameter for the projection family.
FAMILY_ID - Static variable in class elki.index.lsh.InMemoryLSHIndex.Par
Hash function family parameter.
far - Variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter
Temp buffer we use for computations.
FarReinsert - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert
Reinsert objects on page overflow, starting with farther objects first (even when they will likely be inserted into the same page again!)
FarReinsert(double, SpatialPrimitiveDistance<?>) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert
Constructor.
FarReinsert.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert
Parameterization class.
FarthestBalancedDistribution - Class in elki.index.tree.metrical.mtreevariants.strategies.split.distribution
Balanced entry distribution strategy of the M-tree, beginning with the most difficult points first.
FarthestBalancedDistribution() - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.FarthestBalancedDistribution
 
FarthestPoints<O> - Class in elki.clustering.kmeans.initialization
K-Means initialization by repeatedly choosing the farthest point (by the minimum distance to earlier points).
FarthestPoints(RandomFactory, boolean) - Constructor for class elki.clustering.kmeans.initialization.FarthestPoints
Constructor.
FarthestPoints.Par<O> - Class in elki.clustering.kmeans.initialization
Parameterization class.
FarthestPointsSplit<E extends MTreeEntry,​N extends AbstractMTreeNode<?,​N,​E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split
Farthest points split.
FarthestPointsSplit(DistributionStrategy) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.FarthestPointsSplit
Constructor.
FarthestSumPoints<O> - Class in elki.clustering.kmeans.initialization
K-Means initialization by repeatedly choosing the farthest point (by the sum of distances to previous objects).
FarthestSumPoints(RandomFactory, boolean) - Constructor for class elki.clustering.kmeans.initialization.FarthestSumPoints
Constructor.
FarthestSumPoints.Par<V> - Class in elki.clustering.kmeans.initialization
Parameterization class.
fastABOD(Relation<V>, DBIDs, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.anglebased.FastABOD
Full kernel-based version.
FastABOD<V extends NumberVector> - Class in elki.outlier.anglebased
Fast-ABOD (approximateABOF) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.
FastABOD(Similarity<? super V>, int) - Constructor for class elki.outlier.anglebased.FastABOD
Constructor for Angle-Based Outlier Detection (ABOD).
FastABOD.Par<V extends NumberVector> - Class in elki.outlier.anglebased
Parameterization class.
FastCLARA<V> - Class in elki.clustering.kmedoids
Clustering Large Applications (CLARA) with the FastPAM improvements, to increase scalability in the number of clusters.
FastCLARA(Distance<? super V>, int, int, KMedoidsInitialization<V>, double, int, double, boolean, RandomFactory) - Constructor for class elki.clustering.kmedoids.FastCLARA
Constructor.
FastCLARA.Par<V> - Class in elki.clustering.kmedoids
Parameterization class.
FastCLARANS<V> - Class in elki.clustering.kmedoids
A faster variation of CLARANS, that can explore O(k) as many swaps at a similar cost by considering all medoids for each candidate non-medoid.
FastCLARANS(Distance<? super V>, int, int, double, RandomFactory) - Constructor for class elki.clustering.kmedoids.FastCLARANS
Constructor.
FastCLARANS.Assignment - Class in elki.clustering.kmedoids
Assignment state.
FastCLARANS.Par<V> - Class in elki.clustering.kmedoids
Parameterization class.
FastDOC - Class in elki.clustering.subspace
The heuristic variant of the DOC algorithm, FastDOC
FastDOC(double, double, double, int, RandomFactory) - Constructor for class elki.clustering.subspace.FastDOC
Constructor.
FastDOC.Par - Class in elki.clustering.subspace
Parameterization class.
FasterCLARA<O> - Class in elki.clustering.kmedoids
Clustering Large Applications (CLARA) with the FastPAM improvements, to increase scalability in the number of clusters.
FasterCLARA(Distance<? super O>, int, int, KMedoidsInitialization<O>, int, double, boolean, RandomFactory) - Constructor for class elki.clustering.kmedoids.FasterCLARA
Constructor.
FasterCLARA.Par<V> - Class in elki.clustering.kmedoids
Parameterization class.
FasterMSC<O> - Class in elki.clustering.silhouette
Fast and Eager Medoid Silhouette Clustering.
FasterMSC(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.silhouette.FasterMSC
Constructor.
FasterMSC.Instance - Class in elki.clustering.silhouette
FasterMSC clustering instance for a particular data set.
FasterMSC.Instance2 - Class in elki.clustering.silhouette
FasterMSC clustering instance for k=2, simplified.
FasterMSC.Par<O> - Class in elki.clustering.silhouette
Parameterization class.
FasterPAM<O> - Class in elki.clustering.kmedoids
Variation of FastPAM that eagerly performs any swap that yields an improvement during an iteration.
FasterPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.FasterPAM
Constructor.
FasterPAM.Instance - Class in elki.clustering.kmedoids
Instance for a single dataset.
FasterPAM.Par<O> - Class in elki.clustering.kmedoids
Parameterization class.
fastModPrime(long) - Static method in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
Fast modulo operation for the largest unsigned integer prime.
FastMSC<O> - Class in elki.clustering.silhouette
Fast Medoid Silhouette Clustering.
FastMSC(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.silhouette.FastMSC
Constructor.
FastMSC.Instance - Class in elki.clustering.silhouette
FastMSC clustering instance for a particular data set.
FastMSC.Instance2 - Class in elki.clustering.silhouette
Simplified FastMSC clustering instance for k=2.
FastMSC.Par<O> - Class in elki.clustering.silhouette
Parameterization class.
FastMSC.Record - Class in elki.clustering.silhouette
Data stored per point.
FastMultidimensionalScalingTransform<I,​O extends NumberVector> - Class in elki.datasource.filter.transform
Rescale the data set using multidimensional scaling, MDS.
FastMultidimensionalScalingTransform(int, PrimitiveDistance<? super I>, NumberVector.Factory<O>, RandomFactory) - Constructor for class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
Constructor.
FastMultidimensionalScalingTransform.Par<I,​O extends NumberVector> - Class in elki.datasource.filter.transform
Parameterization class.
FastNonThreadsafeRandom - Class in elki.utilities.random
Drop-in replacement for Random, but not using atomic long seeds.
FastNonThreadsafeRandom() - Constructor for class elki.utilities.random.FastNonThreadsafeRandom
Constructor called only by localRandom.initialValue.
FastNonThreadsafeRandom(long) - Constructor for class elki.utilities.random.FastNonThreadsafeRandom
Constructor.
FastOPTICS<V extends NumberVector> - Class in elki.clustering.optics
FastOPTICS algorithm (Fast approximation of OPTICS)
FastOPTICS(int, RandomProjectedNeighborsAndDensities) - Constructor for class elki.clustering.optics.FastOPTICS
Constructor.
FastPAM<O> - Class in elki.clustering.kmedoids
FastPAM: An improved version of PAM, that is usually O(k) times faster.
FastPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.FastPAM
Constructor.
FastPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>, double) - Constructor for class elki.clustering.kmedoids.FastPAM
Constructor.
FastPAM.Instance - Class in elki.clustering.kmedoids
Instance for a single dataset.
FastPAM.Par<V> - Class in elki.clustering.kmedoids
Parameterization class.
FastPAM1<O> - Class in elki.clustering.kmedoids
FastPAM1: A version of PAM that is O(k) times faster, i.e., now in O((n-k)²).
FastPAM1(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.FastPAM1
Constructor.
FastPAM1.Instance - Class in elki.clustering.kmedoids
Instance for a single dataset.
FastPAM1.Par<V> - Class in elki.clustering.kmedoids
Parameterization class.
fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.ProjectionParallel
Fast project a vector from data to render space
fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple1D
 
fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D
 
fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.SimpleParallel
 
fastProjectDataToRenderSpace(double, int) - Method in interface elki.visualization.projections.ProjectionParallel
Project the value of a single axis to its display value
fastProjectDataToRenderSpace(double, int) - Method in class elki.visualization.projections.SimpleParallel
 
fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.ProjectionParallel
Fast project a vector from data to render space
fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple1D
 
fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple2D
 
fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.SimpleParallel
 
fastProjectDataToScaledSpace(double[]) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectDataToScaledSpace(double[]) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from data space to scaled space.
fastProjectDataToScaledSpace(double[]) - Method in class elki.visualization.projections.Simple2D
 
fastProjectDataToScaledSpace(NumberVector) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectDataToScaledSpace(NumberVector) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from data space to scaled space.
fastProjectDataToScaledSpace(NumberVector) - Method in class elki.visualization.projections.Simple2D
 
fastProjectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectRelativeDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple1D
 
fastProjectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D
 
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple1D
 
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple2D
 
fastProjectRelativeScaledToRender(double[]) - Method in interface elki.visualization.projections.Projection1D
Project a vector from scaled space to rendering space.
fastProjectRelativeScaledToRender(double[]) - Method in class elki.visualization.projections.Simple1D
 
fastProjectRelativeScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectRelativeScaledToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D
Project a vector from scaled space to rendering space.
fastProjectRelativeScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D
 
fastProjectRenderToDataSpace(double, double) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectRenderToDataSpace(double, double) - Method in interface elki.visualization.projections.Projection2D
Project a data vector from rendering space to data space.
fastProjectRenderToDataSpace(double, double) - Method in class elki.visualization.projections.Simple2D
 
fastProjectRenderToDataSpace(double, int) - Method in interface elki.visualization.projections.ProjectionParallel
Project a display value back to the original data space
fastProjectRenderToDataSpace(double, int) - Method in class elki.visualization.projections.SimpleParallel
 
fastProjectRenderToScaledSpace(double, double) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectRenderToScaledSpace(double, double) - Method in interface elki.visualization.projections.Projection2D
Project a vector from rendering space to scaled space.
fastProjectRenderToScaledSpace(double, double) - Method in class elki.visualization.projections.Simple2D
 
fastProjectScaledToRender(double[]) - Method in interface elki.visualization.projections.Projection1D
Project a vector from scaled space to rendering space.
fastProjectScaledToRender(double[]) - Method in class elki.visualization.projections.Simple1D
 
fastProjectScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection
 
fastProjectScaledToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D
Project a vector from scaled space to rendering space.
fastProjectScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D
 
fastswap - Variable in class elki.clustering.kmedoids.FastPAM.Instance
Tolerance for fast swapping behavior (may perform worse swaps).
fasttol - Variable in class elki.clustering.kmedoids.FastPAM
Tolerance for fast swapping behavior (may perform worse swaps).
fasttol - Variable in class elki.clustering.kmedoids.FastPAM.Par
Tolerance for fast swapping behavior (may perform worse swaps).
FASTTOL_ID - Static variable in class elki.clustering.kmedoids.FastPAM.Par
Tolerance for performing additional swaps.
fastUpperBound(int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
fastUpperBound function calculates an upper Bound as k*maxDist(pf[i], smallest neighborhood)
FASTUTIL_HASH_STRATEGY - Static variable in class elki.utilities.datastructures.BitsUtil
Hashing strategy to use with Fastutils.
FastutilIntOpenHashSetModifiableDBIDs - Class in elki.database.ids.integer
Implementation using Fastutil IntSet.
FastutilIntOpenHashSetModifiableDBIDs() - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
Constructor.
FastutilIntOpenHashSetModifiableDBIDs(int) - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
Constructor.
FastutilIntOpenHashSetModifiableDBIDs(DBIDs) - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
Constructor.
FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet - Class in elki.database.ids.integer
Customized table.
FastutilIntOpenHashSetModifiableDBIDs.Itr - Class in elki.database.ids.integer
Iterator over Fastutil hashs.
FDBSCAN - Class in elki.clustering.uncertain
FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.
FDBSCAN(double, int, double, RandomFactory, int) - Constructor for class elki.clustering.uncertain.FDBSCAN
Constructor that initialized GeneralizedDBSCAN.
FDBSCAN.Par - Class in elki.clustering.uncertain
Parameterizer class.
FDBSCANNeighborPredicate - Class in elki.clustering.uncertain
Density-based Clustering of Applications with Noise and Fuzzy objects (FDBSCAN) is an Algorithm to find sets in a fuzzy database that are density-connected with minimum probability.
FDBSCANNeighborPredicate(double, int, double, RandomFactory) - Constructor for class elki.clustering.uncertain.FDBSCANNeighborPredicate
Constructor.
FDBSCANNeighborPredicate.Instance - Class in elki.clustering.uncertain
Instance of the neighbor predicate.
FDBSCANNeighborPredicate.Par - Class in elki.clustering.uncertain
Parameterizer class.
FEATURE_VECTORS - Static variable in class elki.data.type.TypeUtil
Any feature vector type.
FeatureBagging - Class in elki.outlier.meta
A simple ensemble method called "Feature bagging" for outlier detection.
FeatureBagging(int, int, boolean, RandomFactory) - Constructor for class elki.outlier.meta.FeatureBagging
Constructor.
FeatureBagging.Par - Class in elki.outlier.meta
Parameterization class.
FEATURES_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par
Cluster features parameter.
FeatureSelection<V extends FeatureVector<F>,​F> - Class in elki.data.projection
Projection class for number vectors.
FeatureSelection(int[]) - Constructor for class elki.data.projection.FeatureSelection
Constructor.
FeatureSelection.Par<V extends FeatureVector<F>,​F> - Class in elki.data.projection
Parameterization class.
FeatureSelection.ProjectedFeatureVectorAdapter - Class in elki.data.projection
Generic projection function
FeatureSelection.ProjectedNumberFeatureVectorAdapter - Class in elki.data.projection
Adapter for generating number vectors without reboxing.
FeatureVector<D> - Interface in elki.data
Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory<V extends FeatureVector<? extends D>,​D> - Interface in elki.data
Factory API for this feature vector.
featureVectorAdapter(FeatureVector<F>) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil
Get the static instance.
FeatureVectorAdapter<F> - Class in elki.utilities.datastructures.arraylike
Adapter to use a feature vector as an array of features.
FeatureVectorAdapter() - Constructor for class elki.utilities.datastructures.arraylike.FeatureVectorAdapter
Constructor.
FEATUREVECTORADAPTER - Static variable in class elki.utilities.datastructures.arraylike.ArrayLikeUtil
Static instance.
FIELD - Static variable in interface elki.data.NumberVector
Input type for algorithms that require number vector fields.
FIELD - Static variable in interface elki.data.SparseNumberVector
Input data type: Sparse vector field.
FIELD_1D - Static variable in interface elki.data.NumberVector
Type request for two-dimensional number vectors
FIELD_2D - Static variable in interface elki.data.NumberVector
Type request for two-dimensional number vectors
FieldTypeInformation - Interface in elki.data.type
Types with a fixed dimensionality (e.g., vector fields, but also e.g., polygon types).
file - Variable in class elki.application.experiments.ORLibBenchmark
Input file.
file - Variable in class elki.application.experiments.ORLibBenchmark.Par
Input file.
file - Variable in class elki.clustering.meta.ExternalClustering
The file to be reparsed.
file - Variable in class elki.clustering.meta.ExternalClustering.Par
The file to be reparsed
file - Variable in class elki.gui.util.SavedSettingsFile
File to read and write
file - Variable in class elki.index.tree.IndexTree
The file storing the entries of this index.
file - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore
The file to be reparsed
file - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
The file to be reparsed
file - Variable in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory
The input file.
file - Variable in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par
The input file.
file - Variable in class elki.persistent.LRUCache
The underlying file of this cache.
file - Variable in class elki.persistent.MemoryPageFile
Holds the pages.
file - Variable in class elki.persistent.OnDiskArray
Random Access File object.
file - Variable in class elki.persistent.OnDiskArrayPageFile
The file storing the pages.
file - Variable in class elki.persistent.PersistentPageFile
The file storing the pages.
FILE_EXTENSION - Static variable in class elki.result.textwriter.TextWriter
Extension for txt-files.
FILE_ID - Static variable in class elki.application.experiments.ORLibBenchmark.Par
Parameter that specifies the name of the directory to be re-parsed.
FILE_ID - Static variable in class elki.clustering.meta.ExternalClustering.Par
Parameter that specifies the name of the file to be re-parsed.
FILE_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par
Parameter that specifies the name of the file to be re-parsed.
FILE_VERSION - Static variable in class elki.persistent.DefaultPageHeader
Version number of this header (magic number).
FileBasedDatabaseConnection - Class in elki.datasource
File based database connection based on the parser to be set.
FileBasedDatabaseConnection(List<? extends ObjectFilter>, Parser, InputStream) - Constructor for class elki.datasource.FileBasedDatabaseConnection
Constructor.
FileBasedDatabaseConnection(List<? extends ObjectFilter>, Parser, String) - Constructor for class elki.datasource.FileBasedDatabaseConnection
Constructor.
FileBasedDatabaseConnection(List<? extends ObjectFilter>, Parser, URI) - Constructor for class elki.datasource.FileBasedDatabaseConnection
Constructor.
FileBasedDatabaseConnection.Par - Class in elki.datasource
Parameterization class.
FileBasedSparseDoubleDistance - Class in elki.distance.external
Distance function that is based on double distances given by a distance matrix of an external ASCII file.
FileBasedSparseDoubleDistance(DistanceParser, URI, double) - Constructor for class elki.distance.external.FileBasedSparseDoubleDistance
Constructor.
FileBasedSparseDoubleDistance.Par - Class in elki.distance.external
Parameterization class.
FileBasedSparseFloatDistance - Class in elki.distance.external
Distance function that is based on float distances given by a distance matrix of an external ASCII file.
FileBasedSparseFloatDistance(DistanceParser, URI, float) - Constructor for class elki.distance.external.FileBasedSparseFloatDistance
Constructor.
FileBasedSparseFloatDistance.Par - Class in elki.distance.external
Parameterization class.
FileListParameter - Class in elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a list of files.
FileListParameter(OptionID, FileListParameter.FilesType) - Constructor for class elki.utilities.optionhandling.parameters.FileListParameter
Constructs a file list parameter with the given optionID, and file type.
FileListParameter.FilesType - Enum in elki.utilities.optionhandling.parameters
Available types of the files: FileListParameter.FilesType.INPUT_FILES denotes input files, FileListParameter.FilesType.OUTPUT_FILES denotes output files.
filemenu - Variable in class elki.visualization.gui.ResultWindow.DynamicMenu
File menu.
filename - Variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
Filename to load.
filename - Variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Par
Filename to load.
filename - Variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor
File to load.
filename - Variable in class elki.persistent.OnDiskArray
File name.
filename - Variable in class elki.persistent.OnDiskArrayPageFile
The file name to use
filename - Variable in class elki.result.KMLOutputHandler
Output file name
filename - Variable in class elki.result.KMLOutputHandler.Par
Output file name
fileName - Variable in class elki.persistent.OnDiskArrayPageFileFactory
File name.
fileName - Variable in class elki.persistent.PersistentPageFileFactory
File name.
FILENAME_PREFIX - Static variable in class elki.utilities.ELKIServiceLoader
File name prefix for the ELKI functionality discovery.
fileNameEditor - Variable in class elki.gui.util.ParameterTable.AdjustingEditor
The file selector editor
FileNameEditor() - Constructor for class elki.gui.util.ParameterTable.FileNameEditor
Constructor.
filenameFromLabel(String) - Method in class elki.result.textwriter.TextWriter
Derive a file name from the cluster label.
filenames - Variable in class elki.result.textwriter.TextWriter
For producing unique filenames.
FileOrderBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Trivial bulk loading - assumes that the file has been appropriately sorted before.
FileOrderBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit
Constructor.
FileOrderBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk
Parameterization class.
FileParameter - Class in elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a file.
FileParameter(OptionID, FileParameter.FileType) - Constructor for class elki.utilities.optionhandling.parameters.FileParameter
Constructs a file parameter with the given optionID, and file type.
FileParameter.FileType - Enum in elki.utilities.optionhandling.parameters
Available file types: FileParameter.FileType.INPUT_FILE denotes an input file, FileParameter.FileType.OUTPUT_FILE denotes an output file.
FileParameterConfigurator - Class in elki.gui.configurator
Provide a configuration panel to choose a file with a file selector button.
FileParameterConfigurator(FileParameter, JComponent) - Constructor for class elki.gui.configurator.FileParameterConfigurator
Constructor.
files - Variable in class elki.datasource.ConcatenateFilesDatabaseConnection
Input file list.
files - Variable in class elki.datasource.ConcatenateFilesDatabaseConnection.Par
The input files.
files - Variable in class elki.utilities.ELKIServiceScanner.DirClassIterator
 
filesType - Variable in class elki.utilities.optionhandling.parameters.FileListParameter
Specifies the type of the files, i.e. if the files are input or output files.
FilesType() - Constructor for enum elki.utilities.optionhandling.parameters.FileListParameter.FilesType
 
fileType - Variable in class elki.utilities.optionhandling.parameters.FileParameter
The file type of this file parameter.
FileType() - Constructor for enum elki.utilities.optionhandling.parameters.FileParameter.FileType
 
FileUtil - Class in elki.utilities.io
Various static helper methods to deal with files and file names.
FileUtil() - Constructor for class elki.utilities.io.FileUtil
Fake Constructor.
fill - Variable in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Par
 
fill - Variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par
 
fill - Variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Par
 
fill - Variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par
Fill parameter.
FILL - Static variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
String constant.
FILL_ID - Static variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par
Flag for half-transparent filling of bubbles.
FILL_ID - Static variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par
Flag for half-transparent filling of bubbles.
fillAndSort(int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Fill the array with the dimension projection needed for sorting.
fillDensities(KNNSearcher<DBIDRef>, DBIDs, WritableDoubleDataStore) - Method in class elki.clustering.dbscan.LSDBC
Collect all densities into an array for sorting.
FILLED_PAGE - Static variable in class elki.persistent.OnDiskArrayPageFile
Indicates a filled page.
FILLED_PAGE - Static variable in class elki.persistent.PersistentPageFile
Indicates a filled page.
fillInStackTrace() - Method in exception elki.utilities.io.ParseUtil.PreallocatedException
 
filter - Variable in class elki.algorithm.DependencyDerivator
Filter to select eigenvectors.
filter - Variable in class elki.algorithm.DependencyDerivator.Par
Filter to select eigenvectors.
filter - Variable in class elki.clustering.correlation.COPAC.Settings
Eigenpair filter.
filter - Variable in class elki.clustering.correlation.ERiC.Settings
Filter for Eigenvectors.
filter - Variable in class elki.clustering.correlation.HiCO
Filter for selecting eigenvectors
filter - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
Filter for selecting eigenvectors.
filter - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Filter to use for dimensionality reduction.
filter - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par
Filter to use for dimensionality reduction.
filter - Variable in class elki.math.linearalgebra.pca.AutotuningPCA
Filter to select eigenvectors.
filter - Variable in class elki.math.linearalgebra.pca.AutotuningPCA.Par
Filter to select eigenvectors.
filter - Variable in class elki.outlier.SimpleCOP.Par
Filter for selecting eigenvectors.
filter - Variable in class elki.result.ResultWriter
Result filter pattern.
filter - Variable in class elki.result.ResultWriter.Par
Result filter pattern.
filter - Variable in class elki.utilities.datastructures.iterator.FilteredIt
Class filter.
filter - Variable in class elki.utilities.datastructures.iterator.SubtypeIt
Class filter.
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.DropEigenPairFilter
 
filter(double[]) - Method in interface elki.math.linearalgebra.pca.filter.EigenPairFilter
Filters the specified eigenvalues into strong and weak eigenvalues, where strong eigenvalues have high variance and weak eigenvalues have small variance.
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter
 
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter
 
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter
 
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter
 
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter
 
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter
 
filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.WeakEigenPairFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.AbstractConversionFilter
A standard implementation of the filter process.
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.AbstractStreamFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.cleaning.DropNaNFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.cleaning.NoMissingValuesFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.FixedDBIDsFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.NoOpFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization
 
filter(MultipleObjectsBundle) - Method in interface elki.datasource.filter.ObjectFilter
Filter a set of object packages.
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.selection.ShuffleObjectsFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.selection.SortByLabelFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.ClassLabelFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.ExternalIDFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter
 
filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.UncertainifyFilter
 
filter(Class<? super T>) - Method in class elki.utilities.datastructures.iterator.EmptyIterator
 
filter(Class<? super T>) - Method in interface elki.utilities.datastructures.iterator.It
Filtered iteration.
filter(Predicate<? super O>) - Method in class elki.utilities.datastructures.iterator.EmptyIterator
 
filter(Predicate<? super O>) - Method in interface elki.utilities.datastructures.iterator.It
Filtered iteration.
FILTER_ID - Static variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par
To specify the eigenvectors to keep.
FILTER_ID - Static variable in class elki.math.statistics.intrinsicdimensionality.LPCAEstimator.Par
Option for the EigenPairFilter to use on eigenvalues.
FILTER_PATTERN_ID - Static variable in class elki.result.ResultWriter.Par
Pattern to filter the output
filter1(int, int, List<DAFile>, VectorApproximation, int, VALPNormDistance) - Method in class elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery
 
FilteredConvexHull2D - Class in elki.math.geometry
Accelerate computing the convex hull with a simple filter.
FilteredConvexHull2D() - Constructor for class elki.math.geometry.FilteredConvexHull2D
Constructor.
FilteredDistanceResultAdapter - Class in elki.evaluation.scores.adapter
This adapter is used to process a list of (double, DBID) objects, but allows skipping one object in the ranking.
FilteredDistanceResultAdapter(DBIDs, DoubleDBIDListIter, int, DBIDRef) - Constructor for class elki.evaluation.scores.adapter.FilteredDistanceResultAdapter
Constructor.
FilteredIt<O> - Class in elki.utilities.datastructures.iterator
Filtered iterator.
FilteredIt(It<O>, Predicate<? super O>) - Constructor for class elki.utilities.datastructures.iterator.FilteredIt
Constructor.
filterField - Variable in class elki.visualization.gui.ResultWindow.TextWriterPanel
Filter text field.
filterResults(Object, Class<? super C>) - Static method in class elki.result.ResultUtil
Return only results of the given restriction class
filters - Variable in class elki.datasource.AbstractDatabaseConnection
The filters to invoke
filters - Variable in class elki.datasource.AbstractDatabaseConnection.Par
Filters
FILTERS_ID - Static variable in class elki.datasource.AbstractDatabaseConnection.Par
Filters to apply to the input data.
filterSingleObject(NumberVector) - Method in class elki.datasource.filter.typeconversions.UncertainSplitFilter
 
filterSingleObject(NumberVector) - Method in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter
 
filterSingleObject(I) - Method in class elki.datasource.filter.AbstractConversionFilter
Normalize a single instance.
filterSingleObject(I) - Method in class elki.datasource.filter.AbstractStreamConversionFilter
Normalize a single instance.
filterSingleObject(I) - Method in class elki.datasource.filter.transform.ProjectionFilter
 
filterSingleObject(O) - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceRankNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.LengthNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization
 
filterSingleObject(V) - Method in class elki.datasource.filter.transform.HistogramJitterFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.transform.LatLngToECEFFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.transform.LngLatToECEFFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.transform.PerturbationFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter
 
filterSingleObject(V) - Method in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter
 
FilterUtil - Class in elki.datasource.filter
Utilities for implementing filters.
FilterUtil() - Constructor for class elki.datasource.filter.FilterUtil
Fake constructor: do not instantiate.
finalAssignment(List<Pair<double[], long[]>>, Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.PROCLUS
Refinement step to assign the objects to the final clusters.
finalizeCluster() - Method in class elki.clustering.em.models.DiagonalGaussianModel
 
finalizeCluster() - Method in interface elki.clustering.em.models.EMClusterModel
Finalize a cluster model.
finalizeCluster() - Method in class elki.clustering.em.models.MultivariateGaussianModel
 
finalizeCluster() - Method in class elki.clustering.em.models.SphericalGaussianModel
 
finalizeCluster() - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
 
finalizeCluster() - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
 
finalizeCluster() - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
 
finalizeCluster(HDBSCANHierarchyExtraction.TempCluster, Clustering<DendrogramModel>, WritableDoubleDataStore, Cluster<DendrogramModel>, boolean) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance
Make the cluster for the given object
finalizeEStep(double, double) - Method in class elki.clustering.em.models.DiagonalGaussianModel
 
finalizeEStep(double, double) - Method in interface elki.clustering.em.models.EMClusterModel
Finalize the E step.
finalizeEStep(double, double) - Method in class elki.clustering.em.models.MultivariateGaussianModel
 
finalizeEStep(double, double) - Method in class elki.clustering.em.models.SphericalGaussianModel
 
finalizeEStep(double, double) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
 
finalizeEStep(double, double) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
 
finalizeEStep(double, double) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
 
finalizeFirstPassE() - Method in interface elki.clustering.em.models.EMClusterModel
Finalize the first pass of the E step.
finalizeFirstPassE() - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
Finish computation of the mean.
finalMomentum - Variable in class elki.projection.SNE
Final momentum.
finalMomentum - Variable in class elki.projection.TSNE
Final momentum.
find(double) - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList
Find the last position with a smaller or equal key.
find(int) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger
Find the parent of an object.
find(DBIDRef) - Method in interface elki.utilities.datastructures.unionfind.UnionFind
Find the component ID of an element.
find(DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
 
find(DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
 
find(Object) - Method in interface elki.utilities.datastructures.iterator.It
Find a given object in the iterator; consumes the iterator.
findAllImplementations(Class<?>) - Static method in class elki.utilities.ELKIServiceRegistry
Find all implementations of a particular interface.
findAllImplementations(Class<?>, boolean) - Static method in class elki.utilities.ELKIServiceRegistry
Find all implementations of a given class in the classpath.
findAndEvaluateThreshold(DoubleDynamicHistogram) - Method in class elki.clustering.correlation.LMCLUS
Evaluate the histogram to find a suitable threshold
findBasis(Relation<? extends NumberVector>, ORCLUS.ORCLUSCluster, int) - Method in class elki.clustering.correlation.ORCLUS
Finds the basis of the subspace of dimensionality dim for the specified cluster.
findBest(double[], double[], int[], int) - Static method in class elki.clustering.hierarchical.Anderberg.Instance
Find the best in a row of the triangular matrix.
findBest(ArrayModifiableDBIDs, DBIDArrayMIter, DBIDVar) - Method in class elki.clustering.optics.OPTICSList.Instance
Find the minimum in the candidates array.
findBestFit(List<V>, AttributeWiseCDFNormalization.Adapter, int, double[]) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
Find the best fitting distribution.
findBestSwap(DBIDRef, double[]) - Method in class elki.clustering.silhouette.FastMSC.Instance
Compute the loss change when choosing j as new medoid.
findBestSwap(DBIDRef, double[]) - Method in class elki.clustering.silhouette.FastMSC.Instance2
Compute the loss change when choosing j as new medoid.
findBestSwaps(DBIDArrayIter, ArrayModifiableDBIDs, double[], double[], double[]) - Method in class elki.clustering.kmedoids.FastPAM.Instance
Find the best swaps.
findClassLabelColumn(MultipleObjectsBundle) - Static method in class elki.evaluation.classification.holdout.AbstractHoldout
Find the class label column in the given data set.
findClosestNode(NumberVector, int) - Method in class elki.outlier.lof.ALOCI.ALOCIQuadTree
Find the closest node (of depth tlevel or above, if there is no node at this depth) for the given vector.
findDatabase(Object) - Static method in class elki.result.ResultUtil
Find the first database result in the tree.
findDenseSubspaceCandidates(Relation<? extends NumberVector>, List<CLIQUESubspace>) - Method in class elki.clustering.subspace.CLIQUE
Determines the k-dimensional dense subspace candidates from the specified (k-1)-dimensional dense subspaces.
findDenseSubspaces(Relation<? extends NumberVector>, List<CLIQUESubspace>) - Method in class elki.clustering.subspace.CLIQUE
Determines the k-dimensional dense subspaces and performs a pruning if this option is chosen.
findDepth(Clustering<M>) - Static method in class elki.visualization.visualizers.visunproj.KeyVisualization
Compute the size of the clustering.
findDepth(Hierarchy<Cluster<M>>, Cluster<M>, int[]) - Static method in class elki.visualization.visualizers.visunproj.KeyVisualization
Recursive depth computation.
findDimensions(ArrayDBIDs, Relation<? extends NumberVector>, DistanceQuery<? extends NumberVector>, RangeSearcher<DBIDRef>) - Method in class elki.clustering.subspace.PROCLUS
Determines the set of correlated dimensions for each medoid in the specified medoid set.
findDimensions(ArrayList<PROCLUS.PROCLUSCluster>, Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.PROCLUS
Refinement step that determines the set of correlated dimensions for each cluster centroid.
findEigenVectors(double[][], double[][], double[]) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
Find the first eigenvectors and eigenvalues using power iterations.
findImplementation(Class<? super C>, String) - Static method in class elki.utilities.ELKIServiceRegistry
Find an implementation of the given interface / super class, given a relative class name or alias name.
findInRef(DBIDRef, DBIDArrayIter) - Method in class elki.index.laesa.LAESA.LAESAKNNSearcher
Find the given DBIDVar p in the reference iter
findLabelColumn(BundleMeta) - Static method in class elki.datasource.filter.FilterUtil
Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a type information.
findLabelColumn(MultipleObjectsBundle) - Static method in class elki.datasource.filter.FilterUtil
Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a bundle.
findLeaf(CFTree.TreeNode, NumberVector) - Method in class elki.clustering.hierarchical.birch.CFTree
Find the leaf of a cluster, to get the final cluster assignment.
findLeaf(NumberVector) - Method in class elki.clustering.hierarchical.birch.CFTree
Find the leaf of a cluster, to get the final cluster assignment.
findLeaf(NumberVector) - Method in class elki.index.tree.betula.CFTree
Find the leaf of a cluster, to get the final cluster assignment.
findLeaf(CFNode<L>, NumberVector) - Method in class elki.index.tree.betula.CFTree
Find the leaf of a cluster, to get the final cluster assignment.
findLimitedDimensionWithDerivative(double[][], double[], double[], double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver
Find the first dimension where the partial derivative wrt. that dimension is nonnegative or nonpositive.
findMatches(ModifiableDBIDs, Relation<?>, Object) - Method in class elki.algorithm.statistics.EvaluateRetrievalPerformance
Find all matching objects.
findMax(DistanceQuery<?>, DBIDIter, DBIDs, double, double) - Static method in class elki.clustering.hierarchical.MiniMax.Instance
Find the maximum distance of one object to a set.
findMaximumWithFunctionValue(double[][], double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver
Finds the argmax for \( \tfrac12 A x^2 + b x \).
findMedoid(DBIDs, DistanceQuery<?>, int, DBIDArrayMIter, double, WritableDoubleDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Static method in class elki.clustering.kmedoids.initialization.GreedyG
Find the best medoid of a given fixed set.
findMedoid(DBIDs, DistanceQuery<?>, IntegerDataStore, int, DBIDArrayMIter, double[]) - Static method in class elki.clustering.kmedoids.initialization.AlternateRefinement
Find the best medoid of a given fixed set.
findMedoid(DistanceQuery<?>, DBIDs, DBIDArrayMIter) - Static method in class elki.clustering.hierarchical.MedoidLinkage.Instance
Find the prototypes.
findMerge() - Method in class elki.clustering.hierarchical.AGNES.Instance
Perform the next merge step in AGNES.
findMerge() - Method in class elki.clustering.hierarchical.Anderberg.Instance
Perform the next merge step.
findMerge() - Method in class elki.clustering.hierarchical.HACAM.Instance
 
findMerge() - Method in class elki.clustering.hierarchical.MedoidLinkage.Instance
 
findMerge() - Method in class elki.clustering.hierarchical.MiniMax.Instance
 
findMerge() - Method in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
 
findNeighbors(DBIDRef, long[], ArrayModifiableDBIDs, Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.DOC
Find the neighbors of point q in the given subspace
findNewResults(VisualizerContext, Object) - Static method in class elki.visualization.VisualizationTree
Iterate over the primary result tree.
findNewResultVis(VisualizerContext, Object, Class<? super A>, Class<? super B>, BiConsumer<A, B>) - Static method in class elki.visualization.VisualizationTree
Process new result combinations of an object type1 (in first hierarchy) having a child of type2 (in second hierarchy).
findNewSiblings(VisualizerContext, Object, Class<? super A>, Class<? super B>, BiConsumer<A, B>) - Static method in class elki.visualization.VisualizationTree
Process new result combinations of an object type1 (in first hierarchy) and any child of type2 (in second hierarchy) This is a bit painful, because we have two hierarchies with different types: results, and visualizations.
findNext() - Method in class elki.utilities.ELKIServiceScanner.DirClassIterator
Find the next entry, since we need to skip some directories.
findOneDimensionalDenseSubspaceCandidates(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.CLIQUE
Determines the one-dimensional dense subspace candidates by making a pass over the database.
findOneDimensionalDenseSubspaces(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.CLIQUE
Determines the one dimensional dense subspaces and performs a pruning if this option is chosen.
findOptimalRoot(int[]) - Static method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC
Find the "optimal" root of a spanning tree.
findOrCreate(Object, String) - Static method in class elki.result.EvaluationResult
Find or create an evaluation result.
findOrCreateGroup(String) - Method in class elki.result.EvaluationResult
Find or add a new measurement group.
findOrientation(SweepHullDelaunay2D.Triangle) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle
Find the orientation of the triangles to each other.
findOutliers(Relation<? extends NumberVector>, List<MultivariateGaussianModel>, ArrayList<P3C.ClusterCandidate>, ModifiableDBIDs) - Method in class elki.clustering.subspace.P3C
Performs outlier detection by testing the Mahalanobis distance of each point in a cluster against the critical value of the ChiSquared distribution with as many degrees of freedom as the cluster has relevant attributes.
findParent(Relation<? extends NumberVector>, Pair<long[], ArrayModifiableDBIDs>, Object2ObjectMap<long[], List<ArrayModifiableDBIDs>>) - Method in class elki.clustering.subspace.DiSH
Returns the parent of the specified cluster
findPathToObject(IndexTreePath<E>, SpatialComparable, DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Returns the path to the leaf entry in the specified subtree that represents the data object with the specified mbr and id.
findPrototype(DistanceQuery<?>, DBIDs, DBIDs, DBIDVar, double) - Static method in class elki.clustering.hierarchical.HACAM.Instance
Find the prototypes.
findPrototype(DistanceQuery<?>, DBIDs, DBIDs, DBIDVar, double) - Static method in class elki.clustering.hierarchical.MiniMax.Instance
Find the prototypes.
findPrototypeSingleton(DistanceQuery<?>, DBIDs, DBIDRef, DBIDVar) - Static method in class elki.clustering.hierarchical.HACAM.Instance
Find the prototypes.
findPrototypeSingleton(DistanceQuery<?>, DBIDs, DBIDRef, DBIDVar) - Static method in class elki.clustering.hierarchical.MiniMax.Instance
Find the prototypes.
findSeparation(Relation<? extends NumberVector>, DBIDs, int, Random) - Method in class elki.clustering.correlation.LMCLUS
This method samples a number of linear manifolds an tries to determine which the one with the best cluster is.
findSmallest(int, int, double[], int[], int) - Method in class elki.math.geometry.SweepHullDelaunay2D
 
findSNNNeighbors(SimilarityQuery<O>, DBIDRef) - Method in class elki.clustering.SNNClustering
Returns the shared nearest neighbors of the specified query object in the given database.
findSplit() - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance
Find the splitting point in the merge history.
findSplit() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Instance
 
findSplit() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Instance
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.BoundedMidpointSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.LeastOneDimSSQSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.LeastSSQSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MeanVarianceSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MedianSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MedianVarianceSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MidpointSplit
 
findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in interface elki.index.tree.spatial.kd.split.SplitStrategy
Build the k-d-tree using midpoint splitting.
findSplitpoint(String, int) - Static method in class elki.utilities.io.FormatUtil
Find the first space before position w or if there is none after w.
findStartingPoint() - Method in class elki.math.geometry.GrahamScanConvexHull2D
Find the starting point, and sort it to the beginning of the list.
findUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkres
Find the minimum in the uncovered rows.
findUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkresStern
 
findUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkresWong
Find the minimum in the uncovered rows.
findUnlinked(int, int, int[]) - Static method in class elki.clustering.hierarchical.NNChain.Instance
Find an unlinked object.
findVantagePoints(DBIDs, int) - Method in class elki.index.tree.metrical.vptree.GNAT
Finds a vantage points in the DBIDs between left and right
findVis(VisualizerContext) - Static method in class elki.visualization.VisualizationTree
Filtered iteration over a stacked hierarchy.
findVis(VisualizerContext, Object) - Static method in class elki.visualization.VisualizationTree
Filtered iteration over a stacked hierarchy.
fine(CharSequence) - Method in class elki.logging.Logging
Log a message at the 'fine' debugging level.
fine(CharSequence, Throwable) - Method in class elki.logging.Logging
Log a message at the 'fine' debugging level.
finer(CharSequence) - Method in class elki.logging.Logging
Log a message at the 'finer' debugging level.
finer(CharSequence, Throwable) - Method in class elki.logging.Logging
Log a message at the 'finer' debugging level.
finest(CharSequence) - Method in class elki.logging.Logging
Log a message at the 'finest' debugging level.
finest(CharSequence, Throwable) - Method in class elki.logging.Logging
Log a message at the 'finest' debugging level.
finishGridRow() - Method in class elki.gui.configurator.AbstractParameterConfigurator
Complete the current grid row, adding the icon at the end
FiniteProgress - Class in elki.logging.progress
A progress object for a given overall number of items to process.
FiniteProgress(String, int) - Constructor for class elki.logging.progress.FiniteProgress
Constructor.
FiniteProgress(String, int, Logging) - Constructor for class elki.logging.progress.FiniteProgress
Constructor with auto-reporting to logging.
fireActionPerformed(ActionEvent) - Method in class elki.gui.util.TreePopup
Notify action listeners.
fireCameraChangedEvent() - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera
Fire the camera changed event.
fireKNNsInserted(DBIDs, DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Informs all registered KNNListener that new kNNs have been inserted and as a result some kNNs have been changed.
fireKNNsRemoved(DBIDs, DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Informs all registered KNNListener that existing kNNs have been removed and as a result some kNNs have been changed.
fireObjectChanged(DBIDRef, DatabaseEventManager.Type) - Method in class elki.database.DatabaseEventManager
Handles a DataStoreEvent with the specified type.
fireObjectInserted(DBIDRef) - Method in class elki.database.DatabaseEventManager
Event when a new object was inserted.
fireObjectRemoved(DBIDRef) - Method in class elki.database.DatabaseEventManager
Event when an objects was removed / deleted.
fireObjectsChanged(DBIDs, DatabaseEventManager.Type) - Method in class elki.database.DatabaseEventManager
Handles a DataStoreEvent with the specified type.
fireObjectsInserted(DBIDs) - Method in class elki.database.DatabaseEventManager
Event when new objects are inserted.
fireObjectsRemoved(DBIDs) - Method in class elki.database.DatabaseEventManager
Event when objects were removed / deleted.
fireObjectsUpdated(DBIDRef) - Method in class elki.database.DatabaseEventManager
Event when an object was changed / updated.
fireObjectsUpdated(DBIDs) - Method in class elki.database.DatabaseEventManager
Event when objects have changed / were updated.
firePanelUpdated() - Method in class elki.gui.multistep.panels.ParameterTabPanel
 
fireResultAdded(Object, Object) - Method in class elki.database.DatabaseEventManager
Informs all registered ResultListener that a new result was added.
fireResultRemoved(Object, Object) - Method in class elki.database.DatabaseEventManager
Informs all registered ResultListener that a new result has been removed.
fireSwitchEvent(ChangeEvent) - Method in class elki.visualization.svg.SVGCheckbox
Fire the event to listeners
fireValueChanged() - Method in class elki.gui.configurator.AbstractParameterConfigurator
Notify listeners of a changed value.
fireValueChanged() - Method in class elki.gui.configurator.ConfiguratorPanel
 
first - Variable in class elki.clustering.subspace.PROCLUS.DoubleIntInt
 
first - Variable in class elki.database.ids.integer.IntegerDBIDPair
First value in pair
first - Variable in class elki.database.ids.integer.IntegerDBIDPair.Itr
State
first - Variable in class elki.utilities.pairs.DoubleDoublePair
first value
first - Variable in class elki.utilities.pairs.DoubleIntPair
first value
first - Variable in class elki.utilities.pairs.DoubleObjPair
Double value
first - Variable in class elki.utilities.pairs.IntDoublePair
first value
first - Variable in class elki.utilities.pairs.IntIntPair
first value
first - Variable in class elki.utilities.pairs.Pair
First value in pair
FIRST_PRIMES - Static variable in class elki.math.Primes
The first 1000 prime numbers
FIRST_UNIFORM_ID - Static variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par
Choose the first center based on variance contribution.
FIRST_UNIFORM_ID - Static variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par
Choose the first center based on variance contribution.
firstAssignments - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments
The assignments to the first routing object.
firstEventReceived - Variable in class elki.outlier.lof.OnlineLOF.LOFKNNListener
Holds the first event of one of the both preprocessors.
FirstK<O> - Class in elki.clustering.kmeans.initialization
Initialize K-means by using the first k objects as initial means.
FirstK() - Constructor for class elki.clustering.kmeans.initialization.FirstK
Constructor.
FirstK.Par<V extends NumberVector> - Class in elki.clustering.kmeans.initialization
Parameterization class.
FirstNEigenPairFilter - Class in elki.math.linearalgebra.pca.filter
The FirstNEigenPairFilter marks the n highest eigenpairs as strong eigenpairs, where n is a user specified number.
FirstNEigenPairFilter(int) - Constructor for class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter
Constructor.
FirstNEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter
Parameterization class.
FirstNStreamFilter - Class in elki.datasource.filter.selection
Keep only the first N elements of the data source.
FirstNStreamFilter(int) - Constructor for class elki.datasource.filter.selection.FirstNStreamFilter
Constructor.
FirstNStreamFilter.Par - Class in elki.datasource.filter.selection
Parameterization class
firstPassE(NumberVector, double) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
First pass: update the mean only.
firstPassE(O, double) - Method in interface elki.clustering.em.models.EMClusterModel
First run in the E step.
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class elki.distance.timeseries.DerivativeDTWDistance
 
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class elki.distance.timeseries.DTWDistance
Fill the first row.
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class elki.distance.timeseries.ERPDistance
 
firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves
Choose the first center uniformly from the leaves.
firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par
Choose the first center based on variance contribution.
firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree
Choose the first center uniformly from the cluster features.
firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par
Choose the first center uniformly from the cluster feature.
FisherRaoDistance - Class in elki.distance.probabilistic
Fisher-Rao riemannian metric for (discrete) probability distributions.
FisherRaoDistance() - Constructor for class elki.distance.probabilistic.FisherRaoDistance
Deprecated.
FisherRaoDistance.Par - Class in elki.distance.probabilistic
Parameterization class.
fitness - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Individuum
 
FittingFunction - Interface in elki.math.linearalgebra.fitting
Interface for a function used in Levenberg-Marquard-Fitting
FittingFunctionResult - Class in elki.math.linearalgebra.fitting
Result returned by a fitting function.
FittingFunctionResult(double, double[]) - Constructor for class elki.math.linearalgebra.fitting.FittingFunctionResult
Trivial/generic constructor for the result class
FixedDBIDsFilter - Class in elki.datasource.filter
This filter assigns static DBIDs, based on the sequence the objects appear in the bundle by adding a column of DBID type to the bundle.
FixedDBIDsFilter(int) - Constructor for class elki.datasource.filter.FixedDBIDsFilter
Constructor.
FixedDBIDsFilter.Par - Class in elki.datasource.filter
Parameterization class.
fixedmean - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling
Field storing the fixed mean to use
fixedmean - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par
Field storing the fixed mean to use
FixedSizeByteBufferSerializer<T> - Interface in elki.utilities.io
Serializers with a fixed length serialization.
Flag - Class in elki.utilities.optionhandling.parameters
Option class specifying a flag object.
Flag(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.Flag
Constructs a flag object with the given optionID.
FLAG_CHEAP_ONLY - Static variable in class elki.database.query.QueryBuilder
Cheap query only - do not build indexes automatically
FLAG_EXACT_ONLY - Static variable in class elki.database.query.QueryBuilder
Exact queries only
FLAG_HIDDEN - Static variable in class elki.visualization.projections.SimpleParallel
Flag for visibility
FLAG_INTERPOLATED - Static variable in interface elki.visualization.style.lines.LineStyleLibrary
Meta flag to request an 'interpolated' version of the style
FLAG_INVERTED - Static variable in class elki.visualization.projections.SimpleParallel
Flag for inverted dimensions TODO: handle inversions via scales?
FLAG_LINEAR_ONLY - Static variable in class elki.database.query.QueryBuilder
Linear scans only
FLAG_NO_CACHE - Static variable in class elki.database.query.QueryBuilder
Do not keep auto-generated indexes (c.f., MaterializeKNNPreprocessor).
FLAG_OPTIMIZED_ONLY - Static variable in class elki.database.query.QueryBuilder
Optimized queries only, no linear scans
FLAG_PRECOMPUTE - Static variable in class elki.database.query.QueryBuilder
Flag indicating expected pairwise usage / need for precomputation.
FLAG_STRONG - Static variable in interface elki.visualization.style.lines.LineStyleLibrary
Meta flag to request a 'stronger' version of the style
FLAG_WEAK - Static variable in interface elki.visualization.style.lines.LineStyleLibrary
Meta flag to request a 'weaker' version of the style
Flag.BooleanConsumer - Interface in elki.utilities.optionhandling.parameters
Represents an operation that accepts a single boolean-valued argument and returns no result.
FlagParameterConfigurator - Class in elki.gui.configurator
Provide a configuration panel to modify a boolean via a checkbox.
FlagParameterConfigurator(Flag, JComponent) - Constructor for class elki.gui.configurator.FlagParameterConfigurator
 
flags - Variable in class elki.database.query.QueryBuilder
Query flags
flags - Variable in class elki.gui.util.DynamicParameters.Node
 
flags - Variable in class elki.visualization.projections.SimpleParallel
Flags for the dimensions
flags - Variable in class elki.visualization.VisualizationTask
Render capabilities
FLAGS_NO_INHERIT - Static variable in class elki.database.query.QueryBuilder
Flags that are not inherited to nested distanceQuery calls.
FLAGS_NO_OPTIMIZER - Static variable in class elki.database.query.QueryBuilder
Flags that do not allow the optimizer to run.
FlatRStarTree - Class in elki.index.tree.spatial.rstarvariants.flat
FlatRTree is a spatial index structure based on a R*-Tree but with a flat directory.
FlatRStarTree(PageFile<FlatRStarTreeNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
Constructor.
FlatRStarTreeFactory<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.flat
Factory for flat R*-Trees.
FlatRStarTreeFactory(PageFileFactory<?>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory
Constructor.
FlatRStarTreeFactory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.flat
Parameterization class.
FlatRStarTreeIndex<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.flat
The common use of the flat rstar tree: indexing number vectors.
FlatRStarTreeIndex(Relation<O>, PageFile<FlatRStarTreeNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
Constructor.
FlatRStarTreeNode - Class in elki.index.tree.spatial.rstarvariants.flat
Represents a node in a flat R*-Tree.
FlatRStarTreeNode() - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode
Empty constructor for Externalizable interface.
FlatRStarTreeNode(int, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode
Creates a new FlatRStarTreeNode with the specified parameters.
FlexibleBetaLinkage - Class in elki.clustering.hierarchical.linkage
Flexible-beta linkage as proposed by Lance and Williams.
FlexibleBetaLinkage(double) - Constructor for class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage
Constructor.
FlexibleBetaLinkage.Par - Class in elki.clustering.hierarchical.linkage
Parameterization class.
FlexibleLOF<O> - Class in elki.outlier.lof
Flexible variant of the "Local Outlier Factor" algorithm.
FlexibleLOF(int, int, Distance<? super O>, Distance<? super O>) - Constructor for class elki.outlier.lof.FlexibleLOF
Constructor.
FlexibleLOF.LOFResult<O> - Class in elki.outlier.lof
Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the FlexibleLOF algorithm.
FlexibleLOF.Par<O> - Class in elki.outlier.lof
Parameterization class.
flipC(long, int) - Static method in class elki.utilities.datastructures.BitsUtil
Invert bit number "off" in v.
flipI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil
Invert bit number "off" in v.
flipSecondEquals(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection
Flip the y axis.
flipTriangle(int, long[]) - Method in class elki.math.geometry.SweepHullDelaunay2D
Flip a single triangle, if necessary.
flipTriangles(long[]) - Method in class elki.math.geometry.SweepHullDelaunay2D
Flip triangles as necessary
flipTriangles(long[], long[]) - Method in class elki.math.geometry.SweepHullDelaunay2D
Flip triangles as necessary
FLOAT_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect
Adapter for float arrays.
FLOAT_CACHE_MAGIC - Static variable in class elki.distance.external.DiskCacheBasedFloatDistance
Magic to identify double cache matrices
FLOAT_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil
Static instance.
FLOAT_VECTOR_FIELD - Static variable in class elki.data.type.TypeUtil
Input type for algorithms that require number vector fields.
FLOAT0 - Static variable in class elki.data.SparseFloatVector
Float constant, for missing values in (inefficient) SparseFloatVector.getValue(int) API.
FloatArrayAdapter - Class in elki.utilities.datastructures.arraylike
Use a float[] in the ArrayAdapter API.
FloatArrayAdapter() - Constructor for class elki.utilities.datastructures.arraylike.FloatArrayAdapter
Private constructor - use the static instance in FloatArrayAdapter.STATIC!
FLOATARRAYADAPTER - Static variable in class elki.utilities.datastructures.arraylike.ArrayLikeUtil
Use a float array in the array API.
FloatSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.FloatSerializer
Constructor.
floatToDoubleLower(float) - Static method in class elki.math.MathUtil
Return the largest double that rounds up to this float.
floatToDoubleUpper(float) - Static method in class elki.math.MathUtil
Return the largest double that rounds down to this float.
floatValue() - Method in class elki.data.Bit
 
floatValue(int) - Method in class elki.data.FloatVector
 
floatValue(int) - Method in interface elki.data.NumberVector
Returns the value in the specified dimension as float.
floatValue(int) - Method in class elki.data.SparseFloatVector
Deprecated.
floatValue(int) - Method in interface elki.data.SparseNumberVector
Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterFloatValue(int).
FloatVector - Class in elki.data
Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
FloatVector(float[]) - Constructor for class elki.data.FloatVector
Create a FloatVector consisting of the given float values.
FloatVector(float[], boolean) - Constructor for class elki.data.FloatVector
Private constructor.
FloatVector.Factory - Class in elki.data
Factory for float vectors.
FloatVector.Factory.Par - Class in elki.data
Parameterization class.
FloatVector.ShortSerializer - Class in elki.data
Serialization class for dense float vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
FloatVector.SmallSerializer - Class in elki.data
Serialization class for dense float vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
FloatVector.VariableSerializer - Class in elki.data
Serialization class for variable dimensionality by using VarInt encoding.
flush() - Method in class elki.gui.util.LogPane.LogPaneHandler
 
flush() - Method in class elki.gui.util.LogPanel.LogPanelHandler
 
flush() - Method in class elki.logging.CLISmartHandler
Flush output streams
flush() - Method in class elki.persistent.LRUCache
Flushes this caches by writing any entry to the underlying file.
flush() - Method in class elki.result.textwriter.TextWriterStream
Flush output: write inline data, then write comment section.
flushBuffer(ByteBuffer, WritableByteChannel) - Method in class elki.datasource.bundle.BundleWriter
Flush the current write buffer to disk.
flushDataStoreEvents() - Method in class elki.database.AbstractDatabase
 
flushDataStoreEvents() - Method in interface elki.database.Database
Fires all collected insertion, deletion and update events as one DataStoreEvent, i.e. notifies all registered DataStoreListener how the content of the database has been changed since Database.accumulateDataStoreEvents() has been called.
flushDataStoreEvents() - Method in class elki.database.DatabaseEventManager
Fires all collected insertion, deletion or update events as one DataStoreEvent, i.e. notifies all registered DataStoreListener how the content of the database has been changed since DatabaseEventManager.accumulateDataStoreEvents() was called.
fMeasure(double) - Method in class elki.evaluation.clustering.PairCounting
Get the pair-counting F-Measure
fMeasureFirst() - Method in class elki.evaluation.clustering.SetMatchingPurity
Get the Van Rijsbergen’s F measure (asymmetric) for first clustering
fMeasureSecond() - Method in class elki.evaluation.clustering.SetMatchingPurity
Get the Van Rijsbergen’s F measure (asymmetric) for second clustering
fmt(double) - Static method in class elki.visualization.svg.SVGUtil
Format a double according to the SVG specs.
FMT - Static variable in class elki.visualization.svg.SVGUtil
Formatter to output numbers in a valid SVG number format.
focusGained(FocusEvent) - Method in class elki.gui.util.TreePopup.Handler
 
focusLost(FocusEvent) - Method in class elki.gui.util.TreePopup.Handler
 
fold - Variable in class elki.evaluation.classification.holdout.DisjointCrossValidation
Holds the number of folds, current fold.
fold - Variable in class elki.evaluation.classification.holdout.RandomizedCrossValidation
Holds the number of folds, current fold.
fold - Variable in class elki.evaluation.classification.holdout.StratifiedCrossValidation
Holds the number of folds, current fold.
FOLDER_ID - Static variable in class elki.result.ExportVisualizations.Par
Parameter to specify the output folder
folderIcon - Variable in class elki.gui.util.TreePopup.Renderer
Icons
folders - Variable in class elki.utilities.ELKIServiceScanner.DirClassIterator
 
follow(int, int[]) - Static method in class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit
Union-find with simple path compression.
FONT_FAMILY - Static variable in interface elki.visualization.style.StyleLibrary
Font family
fontsize - Variable in class elki.visualization.parallel3d.util.SimpleMenuOverlay
Font size.
fontsize - Variable in class elki.visualization.parallel3d.util.SimpleMessageOverlay
Font size.
fontsize - Variable in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance
Font size to use.
fontsize - Variable in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance
Font size to use.
FORCE_LABEL_ID - Static variable in class elki.result.ClusteringVectorDumper.Par
Force label parameter.
forceLabel - Variable in class elki.result.ClusteringVectorDumper
Optional label to force for this output.
forceLabel - Variable in class elki.result.ClusteringVectorDumper.Par
Optional label to force for this output.
forcelinear - Variable in class elki.application.benchmark.ValidateApproximativeKNNIndex
Force linear scanning.
forEach(BiConsumer<? super DBIDRef, ? super O>) - Method in interface elki.database.relation.Relation
Execute a function for each ID.
forEach(Consumer<? super DBIDRef>) - Method in interface elki.database.ids.DBIDs
Execute a function for each ID.
forEach(Consumer<? super DBIDRef>) - Method in class elki.database.ids.EmptyDBIDs
 
forEach(Consumer<? super O>) - Method in class elki.utilities.datastructures.iterator.EmptyIterator
 
forEach(Consumer<? super O>) - Method in interface elki.utilities.datastructures.iterator.It
Process the remaining elements - this will invalidate the iterator.
forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.CombinedIntGenerator
 
forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.ExponentialIntGenerator
 
forEach(IntConsumer) - Method in interface elki.utilities.datastructures.range.IntGenerator
Process the entire series once.
forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.LinearIntGenerator
 
forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.StaticIntGenerator
 
forEachDouble(DoubleDBIDList.Consumer) - Method in interface elki.database.ids.DoubleDBIDList
Execute a function for each ID.
forEachDouble(DoubleRelation.Consumer) - Method in interface elki.database.relation.DoubleRelation
Execute a function for each ID.
ForestBuilder(Relation<? extends NumberVector>, int, Random) - Constructor for class elki.outlier.density.IsolationForest.ForestBuilder
Constructor for the tree builder.
forgetRenderedImage() - Method in class elki.visualization.opticsplot.OPTICSPlot
Free memory used by rendered image.
forgetRenderedImage() - Method in class elki.visualization.silhouette.SilhouettePlot
Free memory used by rendered image.
forgetTextures(GL) - Method in class elki.visualization.parallel3d.Parallel3DRenderer
 
format - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Output format parameter.
format - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Output format parameter.
format - Variable in class elki.datasource.parser.AbstractStreamingParser.Par
Reader format.
format - Variable in class elki.distance.external.AsciiDistanceParser.Par
Reader format.
format - Variable in class elki.result.ExportVisualizations
Output file format.
format - Variable in class elki.result.ExportVisualizations.Par
Output file format.
format - Variable in class elki.visualization.svg.SVGScoreBar
Number format, set to print the actual score
format(boolean) - Static method in class elki.utilities.io.FormatUtil
Formats the boolean b.
format(boolean[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the boolean array b with ',' as separator.
format(byte[]) - Static method in class elki.utilities.io.FormatUtil
Formats the byte array a for printing purposes.
format(double[]) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with ', ' as separator and default precision.
format(double[][]) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with ',' as separator and 2 fraction digits.
format(double[][], int, int, String, String, String) - Static method in class elki.utilities.io.FormatUtil
Returns a string representation of this matrix.
format(double[][], String) - Static method in class elki.utilities.io.FormatUtil
Returns a string representation of this matrix.
format(double[][], String, String, String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the array of double arrays d with 'the specified separators and fraction digits.
format(double[][], NumberFormat) - Static method in class elki.utilities.io.FormatUtil
returns String-representation of Matrix.
format(double[], int, int) - Static method in class elki.utilities.io.FormatUtil
Returns a string representation of this vector.
format(double[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with the specified separator.
format(double[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with the specified number format.
format(double[], NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with the specified number format.
format(float[]) - Static method in class elki.utilities.io.FormatUtil
Formats the float array f with ',' as separator and default precision.
format(float[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the float array d with the specified number format.
format(float[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the float array d with the specified number format.
format(int[]) - Static method in class elki.utilities.io.FormatUtil
Formats the int array a for printing purposes.
format(int[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the int array a for printing purposes.
format(long[]) - Static method in class elki.utilities.io.FormatUtil
Formats the long array a for printing purposes.
format(Object...) - Method in class elki.gui.minigui.MiniGUI
Format objects to a command line.
format(String[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the string array d with the specified separator.
format(NumberFormat, StringBuilder, double, int) - Method in class elki.math.linearalgebra.LinearEquationSystem
Helper method for output of equations and solution.
format(Collection<String>, String) - Static method in class elki.utilities.io.FormatUtil
Formats the String collection with the specified separator.
format(LogRecord) - Method in class elki.logging.ErrorFormatter
 
format(LogRecord) - Method in class elki.logging.MessageFormatter
Retrieves the message as it is set in the given LogRecord.
Format() - Constructor for enum elki.result.ExportVisualizations.Format
 
FORMAT_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Output format.
FORMAT_ID - Static variable in class elki.result.ExportVisualizations.Par
Parameter to specify the output format
formatBit(StringBuilder, boolean) - Static method in class elki.utilities.io.FormatUtil
Format a boolean value as string "1" or "0".
formatCause(Throwable) - Static method in exception elki.utilities.optionhandling.WrongParameterValueException
Format the error cause.
formatCSSClass(CSSClass, int, double, Object...) - Method in class elki.visualization.style.lines.DashedLineStyleLibrary
 
formatCSSClass(CSSClass, int, double, Object...) - Method in interface elki.visualization.style.lines.LineStyleLibrary
Add the formatting statements to the given CSS class.
formatCSSClass(CSSClass, int, double, Object...) - Method in class elki.visualization.style.lines.SolidLineStyleLibrary
 
formatForConsole(StringBuilder, int, Collection<TrackedParameter>) - Static method in class elki.utilities.optionhandling.OptionUtil
Format a list of options (and associated owning objects) for console help output.
formatMemory(long) - Static method in class elki.database.query.EmpiricalQueryOptimizer
Format a memory amount.
formatRead(String) - Static method in exception elki.utilities.optionhandling.WrongParameterValueException
Format the value read for the parameter.
FORMATS - Static variable in class elki.visualization.savedialog.SVGSaveDialog
Supported file format (extensions)
formatSelector - Variable in class elki.visualization.savedialog.SaveOptionsPanel
 
formatTimeDelta(long, CharSequence) - Static method in class elki.utilities.io.FormatUtil
Formats a time delta in human readable format.
formatTo(StringBuilder, boolean) - Static method in class elki.utilities.io.FormatUtil
Format a boolean value as string "true" or "false".
formatTo(StringBuilder, boolean[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the boolean array d.
formatTo(StringBuilder, byte[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the byte array d.
formatTo(StringBuilder, double[][], String, String, String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the array of double arrays d with the specified separators and fraction digits.
formatTo(StringBuilder, double[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with the default number format.
formatTo(StringBuilder, double[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the double array d with the specified number format.
formatTo(StringBuilder, float[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the float array d with the default number format.
formatTo(StringBuilder, float[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil
Formats the float array d with the specified number format.
formatTo(StringBuilder, int[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the int array d.
formatTo(StringBuilder, long[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the long array d.
formatTo(StringBuilder, short[], String) - Static method in class elki.utilities.io.FormatUtil
Formats the short array d.
formatTo(StringBuilder, String) - Method in class elki.gui.minigui.MiniGUI
Format a single string for the command line.
formatTo(StringBuilder, List<?>) - Method in class elki.gui.minigui.MiniGUI
Format a list of strings to a buffer.
FormatUtil - Class in elki.utilities.io
Utility methods for output formatting of various number objects
FormatUtil() - Constructor for class elki.utilities.io.FormatUtil
Private constructor.
formatValue() - Method in class elki.logging.statistics.AtomicLongCounter
 
formatValue() - Method in class elki.logging.statistics.DoubleStatistic
 
formatValue() - Method in class elki.logging.statistics.LongStatistic
 
formatValue() - Method in class elki.logging.statistics.MillisTimeDuration
 
formatValue() - Method in class elki.logging.statistics.NanoDuration
 
formatValue() - Method in interface elki.logging.statistics.Statistic
Get a formatted version of the value, for output.
formatValue() - Method in class elki.logging.statistics.StringStatistic
 
formatValue() - Method in class elki.logging.statistics.UnsynchronizedLongCounter
 
formatValue(double) - Method in class elki.math.scales.LinearScale
Format value according to the scales resolution (i.e. appropriate number of digits)
formatValue(List<Class<? extends C>>) - Method in class elki.utilities.optionhandling.parameters.ClassListParameter
Format as string.
FourC - Class in elki.clustering.correlation
4C identifies local subgroups of data objects sharing a uniform correlation.
FourC(FourC.Settings) - Constructor for class elki.clustering.correlation.FourC
Constructor.
FourC.Par - Class in elki.clustering.correlation
Parameterization class.
FourC.Settings - Class in elki.clustering.correlation
Class wrapping the 4C parameter settings.
FourC.Settings.Par - Class in elki.clustering.correlation
Parameterization class for 4C settings.
FourCCorePredicate - Class in elki.clustering.dbscan.predicates
The 4C core point predicate.
FourCCorePredicate(FourC.Settings) - Constructor for class elki.clustering.dbscan.predicates.FourCCorePredicate
Default constructor.
FourCCorePredicate.Instance - Class in elki.clustering.dbscan.predicates
Instance for a particular data set.
FourCCorePredicate.Par - Class in elki.clustering.dbscan.predicates
Parameterization class
FourCNeighborPredicate - Class in elki.clustering.dbscan.predicates
4C identifies local subgroups of data objects sharing a uniform correlation.
FourCNeighborPredicate(FourC.Settings) - Constructor for class elki.clustering.dbscan.predicates.FourCNeighborPredicate
Constructor.
FourCNeighborPredicate.Instance - Class in elki.clustering.dbscan.predicates
Instance for a particular data set.
FourCNeighborPredicate.Par - Class in elki.clustering.dbscan.predicates
Parameterization class.
fowlkesMallows() - Method in class elki.evaluation.clustering.PairCounting
Computes the pair-counting Fowlkes-mallows (flat only, non-hierarchical!)
FPGrowth - Class in elki.itemsetmining
FP-Growth is an algorithm for mining the frequent itemsets by using a compressed representation of the database called FPGrowth.FPTree.
FPGrowth(double, int, int) - Constructor for class elki.itemsetmining.FPGrowth
Constructor.
FPGrowth.FPNode - Class in elki.itemsetmining
A single node of the FP tree.
FPGrowth.FPNode.Translator - Interface in elki.itemsetmining
Translator class for tree printing.
FPGrowth.FPTree - Class in elki.itemsetmining
FP-Tree data structure
FPGrowth.FPTree.Collector - Interface in elki.itemsetmining
Interface for collecting frequent itemsets found.
FPGrowth.Par - Class in elki.itemsetmining
Parameterization class.
FPMIN - Static variable in class elki.math.statistics.distribution.GammaDistribution
FPNode(FPGrowth.FPNode, int) - Constructor for class elki.itemsetmining.FPGrowth.FPNode
Constructor.
FPTree(int) - Constructor for class elki.itemsetmining.FPGrowth.FPTree
Constructor.
FractionalSharedNearestNeighborSimilarity<O> - Class in elki.similarity
SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.
FractionalSharedNearestNeighborSimilarity(SharedNearestNeighborIndex.Factory<O>) - Constructor for class elki.similarity.FractionalSharedNearestNeighborSimilarity
Constructor.
FractionalSharedNearestNeighborSimilarity.Instance<T> - Class in elki.similarity
Actual instance for a dataset.
frame - Variable in class elki.gui.minigui.MiniGUI
The frame
frame - Variable in class elki.gui.multistep.MultiStepGUI
The frame
frame - Variable in class elki.gui.util.ParameterTable
Containing frame.
frame - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
Frame
frameBufferID - Variable in class elki.visualization.parallel3d.Parallel3DRenderer
Framebuffer for render-to-texture
FREE - Static variable in class elki.svm.solver.Solver
 
frequentItemAlgo - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration
Frequent Itemset Algorithm to be used.
frequentItemAlgo - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Parameter for frequent itemset mining.
FREQUENTITEMALGO_ID - Static variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Parameter to specify the frequentItemsetAlgorithm to be used.
frequentItemsets(List<? extends Itemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class elki.itemsetmining.APRIORI
Returns the frequent BitSets out of the given BitSets with respect to the given database.
FrequentItemsetsResult - Class in elki.result
Result class for frequent itemset mining algorithms.
FrequentItemsetsResult(List<Itemset>, VectorFieldTypeInformation<BitVector>, int) - Constructor for class elki.result.FrequentItemsetsResult
Constructor.
frequentItemsetsSparse(List<SparseItemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class elki.itemsetmining.APRIORI
Returns the frequent BitSets out of the given BitSets with respect to the given database.
from(DBIDDataStore, DBIDRef) - Method in interface elki.database.ids.DBIDVar
Update variable from a data store.
from(DBIDDataStore, DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDVar
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.BitVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.ByteVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.ByteVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.DoubleVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.DoubleVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.DoubleVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.FloatVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.FloatVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.FloatVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.IntegerVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.IntegerVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.IntegerVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.LabelList.Serializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.ShortVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.ShortVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.SimpleClassLabel.Serializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseByteVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseDoubleVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseFloatVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseIntegerVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseShortVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer.VectorTypeSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.database.ids.integer.IntegerDBID.DynamicSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.database.ids.integer.IntegerDBID.StaticSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.ByteSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.DoubleSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.FloatSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.IntegerSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.LongSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.ShortSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.StringSerializer
 
fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.VarintSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in interface elki.utilities.io.ByteBufferSerializer
Deserialize an object from a byte buffer (e.g., disk)
fromMinMax(double, double) - Static method in class elki.utilities.scaling.LinearScaling
Make a linear scaling from a given minimum and maximum.
fromStream(BundleStreamSource) - Static method in class elki.datasource.bundle.MultipleObjectsBundle
Convert an object stream to a bundle
FULL - elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Mode
Center, rotate, and scale
fulldatabase - Variable in class elki.clustering.correlation.CASH
The entire relation.
FullDatabaseReferencePoints - Class in elki.utilities.referencepoints
Strategy to use the complete database as reference points.
FullDatabaseReferencePoints() - Constructor for class elki.utilities.referencepoints.FullDatabaseReferencePoints
Constructor, Parameterizable style.
FullProjection - Interface in elki.visualization.projections
Full vector space projections.
fullRedraw() - Method in class elki.visualization.visualizers.AbstractVisualization
 
fullRedraw() - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.AbstractParallelVisualization
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.LineVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.AxisVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.StaticVisualizationInstance
 
fullRedraw() - Method in class elki.visualization.visualizers.thumbs.ThumbnailVisualization
Perform a full redraw.
fullRedraw() - Method in interface elki.visualization.visualizers.Visualization
Request a full redrawing of the visualization.
fullRedraw() - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.visunproj.KeyVisualization.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance
 
fullRedraw() - Method in class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance
 
FullTable(int) - Constructor for class elki.math.SinCosTable.FullTable
Constructor for tables with
func - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Function to fit to
function(double[]) - Method in class elki.clustering.correlation.cash.ParameterizationFunction
Computes the function value at alpha.
FuzzyCMeans<V extends NumberVector> - Class in elki.clustering.kmeans
Fuzzy Clustering developed by Dunn and revisited by Bezdek
FuzzyCMeans(int, int, int, double, double, boolean, KMeansInitialization) - Constructor for class elki.clustering.kmeans.FuzzyCMeans
Constructor.
FuzzyCMeans.Par - Class in elki.clustering.kmeans
Parameterization class.
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