F-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

F

f - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel: Model parameters: flattening, inverse flattening.
F1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator: See reference for the derivation of this constants.
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed: Get the BCubed F1-Measure
f1Measure(double, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable.Util: F1-Measure (F-Measure with beta = 1)
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance: Get the edit distance F1-Measure
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Get the pair-counting F1-Measure.
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity: Get the set matching F1-Measure M.
F2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator: See reference for the derivation of this constants.
f_maxima - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: Caches maximum function values for given intervals, used for better split performance.
f_minima - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: Caches minimum function values for given intervals, used for better split performance.
factor(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization: Returns a factor for normalization in a certain dimension.
factor - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: Scaling factor if we have very small polygons.
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.ExponentialIntGenerator: Step factor.
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling: Scaling factor
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Scaling factor to use (1/ max - min)
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Scaling factor
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Effective parameters.
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling: Scaling factor to use (usually: Lambda * Stddev * Sqrt(2))
factorial(BigInteger) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Compute the Factorial of n, often written as c!
factorial(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Compute the Factorial of n, often written as c!
factories - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Factories to use
factories - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer: Projections and visualization factories.
factories - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer: Visualizer factories
Factory(BIRCHDistance, BIRCHAbsorptionCriterion, double, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory: Constructor.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood.Factory
Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory: Constructor.
Factory(File) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory: Constructor.
Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory: Factory Constructor
Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory: Constructor.
Factory(NeighborSetPredicate.Factory<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory: Constructor.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.BitVector: Static instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector.Factory
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.Factory
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.ClassLabel.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.DoubleVector: Static factory instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.FloatVector: Static factory instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.Factory
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel.Factory
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector.Factory
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection: Object factory.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection: Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection: Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection: Object factory.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection: Vector factory.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.Factory
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector: Static instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector: Static instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Static instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector: Static instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseShortVector: Static instance.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory
factory - Variable in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation: Object factory for producing new instances.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject: Vector factory.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.UniformContinuousUncertainObject: Vector factory.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.UniformContinuousUncertainObject.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject: Vector factory.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject.Factory
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.WeightedDiscreteUncertainObject: Vector factory.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.WeightedDiscreteUncertainObject.Factory
FACTORY - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory: Static storage factory
FACTORY - Static variable in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory: Static DBID factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorConversionFilter: Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter: Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization: Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization: Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization: Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer: Vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Parameterizer: Vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter: Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter: Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Vector factory class.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer: Factory object.
factory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Parameterizer: The index factory we use.
factory - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Parameterizer: The index factory we use.
Factory(DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory: Constructor.
Factory(SimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedSimilarityMatrix.Factory: Constructor.
Factory(DistanceFunction<? super V>, KMedoidsInitialization<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory: Constructor.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory
Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory: Index factory.
Factory(int, DistanceFunction<? super O>, File) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory: Index factory.
Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory: Constructor.
Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory: Constructor.
Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory: Index factory.
Factory(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory: Constructor.
Factory(double, int, RandomProjectionFamily, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory: Constructor.
Factory(int, DistanceFunction<? super O>, RandomFactory, double, double, boolean, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory: Constructor.
Factory(int, DistanceFunction<? super O>, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: Constructor.
Factory(int, DistanceFunction<? super O>, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory: Constructor.
Factory(List<SpatialSorter>, double, int, int, RandomProjectionFamily, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory: Constructor.
Factory(int, DistanceFunction<? super V>, List<SpatialSorter>, double, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory: Constructor.
Factory(int, DistanceFunction<? super NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory: Constructor.
Factory(DistanceFunction<NV>, PCARunner, EigenPairFilter) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory: Constructor.
Factory(DistanceFunction<V>, PCARunner, EigenPairFilter, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory: Constructor.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory
Factory(double[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory: Constructor.
Factory(double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory: Constructor.
Factory(int, DistanceFunction<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory: Constructor.
Factory(IndexFactory<O>, boolean, boolean, EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory: Constructor.
Factory(IndexFactory<O>, boolean, boolean, EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory: Constructor.
Factory(Projection<O, I>, IndexFactory<I>, boolean, boolean, double) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory: Constructor.
Factory(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory: Constructor.
Factory(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Factory: Constructor.
Factory(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory: Constructor.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory: Constructor.
Factory(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory: Constructor.
Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory: Constructor.
Factory(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory: Constructor.
Factory(int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory: Constructor.
Factory(int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory: Constructor.
factory - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: The factory
FACTORY_FILE_EXT - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
FACTORY_METHOD_NAME - Static variable in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Name for a static "parameterize" factory method.
FACTORY_POSTFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Factory class postfix.
FACTORY_POSTFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner: Factory class postfix.
FAILED_LOAD - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Value to abuse for failures.
failOnErrors() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Fail on errors, log any error that had occurred.
fallback - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Fallback writer for unknown objects.
fallbackwriter - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Fallback writer, using toString.
FALSE - Static variable in class de.lmu.ifi.dbs.elki.data.Bit: False bit.
falseNegatives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: The false negatives for the specified class.
falsePositiveRate(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides the false positive rate for the specified class.
falsePositiveRate() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides the false positive rate.
falsePositives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: The false positives for the specified class.
family - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection: Random projection family
family - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer: Random generator.
family - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex: LSH hash function family to use.
family - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer: LSH hash function family to use.
FAMILY_ID - Static variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer: Parameter for the projection family.
FAMILY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer: Hash function family parameter.
far - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.Arcball1DOFAdapter: Temp buffer we use for computations.
FarReinsert - Class in de.lmu.ifi.dbs.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, SpatialPrimitiveDistanceFunction<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert: Constructor.
FarReinsert.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert: Parameterization class.
FarthestBalancedDistribution - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution.FarthestBalancedDistribution
FarthestPointsInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: K-Means initialization by repeatedly choosing the farthest point (by the minimum distance to earlier points).
FarthestPointsInitialMeans(RandomFactory, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FarthestPointsInitialMeans: Constructor.
FarthestPointsInitialMeans.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Parameterization class.
FarthestPointsSplit<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split: Farthest points split.
FarthestPointsSplit(DistributionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.FarthestPointsSplit: Constructor.
FarthestPointsSplit.Parameterizer<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split: Parameterization class.
FarthestSumPointsInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: K-Means initialization by repeatedly choosing the farthest point (by the sum of distances to previous objects).
FarthestSumPointsInitialMeans(RandomFactory, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FarthestSumPointsInitialMeans: Constructor.
FarthestSumPointsInitialMeans.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Parameterization class.
FastABOD<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased: Fast-ABOD (approximateABOF) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.
FastABOD(SimilarityFunction<? super V>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD: Constructor for Angle-Based Outlier Detection (ABOD).
fastABOD(Database, Relation<V>, DBIDs, WritableDoubleDataStore, DoubleMinMax) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD: Full kernel-based version.
FastABOD.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased: Parameterization class.
FastCLARA<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Clustering Large Applications (CLARA) with the KMedoidsFastPAM improvements, to increase scalability in the number of clusters.
FastCLARA(DistanceFunction<? super V>, int, int, KMedoidsInitialization<V>, double, int, double, boolean, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARA: Constructor.
FastCLARA.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Parameterization class.
FastCLARANS<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: 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(DistanceFunction<? super V>, int, int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FastCLARANS: Constructor.
FastCLARANS.Assignment - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Assignment state.
FastCLARANS.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans: Parameterization class.
FastDOC<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: The heuristic variant of the DOC algorithm, FastDOC Reference: C.
FastDOC(double, double, double, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.FastDOC: Constructor.
FastDOC.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
fastModPrime(long) - Static method in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Fast modulo operation for the largest unsigned integer prime.
FastMultidimensionalScalingTransform<I,O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Rescale the data set using multidimensional scaling, MDS.
FastMultidimensionalScalingTransform(int, PrimitiveDistanceFunction<? super I>, NumberVector.Factory<O>, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Constructor.
FastMultidimensionalScalingTransform.Parameterizer<I,O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Parameterization class.
FastNonThreadsafeRandom - Class in de.lmu.ifi.dbs.elki.utilities.random: Drop-in replacement for Random, but not using atomic long seeds.
FastNonThreadsafeRandom() - Constructor for class de.lmu.ifi.dbs.elki.utilities.random.FastNonThreadsafeRandom: Constructor called only by localRandom.initialValue.
FastNonThreadsafeRandom(long) - Constructor for class de.lmu.ifi.dbs.elki.utilities.random.FastNonThreadsafeRandom: Constructor.
FastOPTICS<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: FastOPTICS algorithm (Fast approximation of OPTICS) Note that this is not FOPTICS as in "Fuzzy OPTICS"!
FastOPTICS(int, RandomProjectedNeighborsAndDensities<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS: Constructor.
FastOPTICS.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Parameterization class.
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D: Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D: Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Fast project a vector from data to render space
fastProjectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Fast project a vector from data to render space
fastProjectDataToRenderSpace(double, int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Project the value of a single axis to its display value
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
fastProjectDataToRenderSpace(double, int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
fastProjectDataToScaledSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectDataToScaledSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from data space to scaled space.
fastProjectDataToScaledSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from data space to scaled space.
fastProjectDataToScaledSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectRelativeDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D: Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D: Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
fastProjectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectRelativeScaledToRender(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D: Project a vector from scaled space to rendering space.
fastProjectRelativeScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
fastProjectRelativeScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectRelativeScaledToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a vector from scaled space to rendering space.
fastProjectRelativeScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectRenderToDataSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectRenderToDataSpace(double, double) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a data vector from rendering space to data space.
fastProjectRenderToDataSpace(double, int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Project a display value back to the original data space
fastProjectRenderToDataSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectRenderToDataSpace(double, int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
fastProjectRenderToScaledSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectRenderToScaledSpace(double, double) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a vector from rendering space to scaled space.
fastProjectRenderToScaledSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastProjectScaledToRender(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D: Project a vector from scaled space to rendering space.
fastProjectScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
fastProjectScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
fastProjectScaledToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D: Project a vector from scaled space to rendering space.
fastProjectScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
fastswap - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.Instance: Tolerance for fast swapping behavior (may perform worse swaps).
fasttol - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM: Tolerance for fast swapping behavior (may perform worse swaps).
fasttol - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.Parameterizer: Tolerance for fast swapping behavior (may perform worse swaps).
FASTTOL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.Parameterizer: Tolerance for performing additional swaps.
fastUpperBound(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures: fastUpperBound function calculates an upper Bound as k*maxDist(pf[i], smallest neighborhood)
FASTUTIL_HASH_STRATEGY - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Hashing strategy to use with Fastutils.
FastutilIntOpenHashSetModifiableDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Implementation using Fastutil IntSet.
FastutilIntOpenHashSetModifiableDBIDs(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs: Constructor.
FastutilIntOpenHashSetModifiableDBIDs() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs: Constructor.
FastutilIntOpenHashSetModifiableDBIDs(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs: Constructor.
FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Customized table.
FastutilIntOpenHashSetModifiableDBIDs.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator over Fastutil hashs.
FDBSCAN - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain: FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.
FDBSCAN(double, int, double, RandomFactory, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN: Constructor that initialized GeneralizedDBSCAN.
FDBSCAN.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain: Parameterizer class.
FDBSCANNeighborPredicate - Class in de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate: Constructor.
FDBSCANNeighborPredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain: Instance of the neighbor predicate.
FDBSCANNeighborPredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain: Parameterizer class.
FEATURE_VECTORS - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Any feature vector type.
FeatureBagging - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta: A simple ensemble method called "Feature bagging" for outlier detection.
FeatureBagging(int, int, boolean, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging: Constructor.
FeatureBagging.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta: Parameterization class.
FeatureSelection<V extends FeatureVector<F>,F> - Class in de.lmu.ifi.dbs.elki.data.projection: Projection class for number vectors.
FeatureSelection(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection: Constructor.
FeatureSelection.Parameterizer<V extends FeatureVector<F>,F> - Class in de.lmu.ifi.dbs.elki.data.projection: Parameterization class.
FeatureVector<D> - Interface in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data: Factory API for this feature vector.
FEATUREVECTORADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Static instance.
featureVectorAdapter(FeatureVector<F>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Get the static instance.
FeatureVectorAdapter<F> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike: Adapter to use a feature vector as an array of features.
FeatureVectorAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FeatureVectorAdapter: Constructor.
FIELD - Static variable in interface de.lmu.ifi.dbs.elki.data.NumberVector: Input type for algorithms that require number vector fields.
FIELD - Static variable in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Input data type: Sparse vector field.
FIELD_1D - Static variable in interface de.lmu.ifi.dbs.elki.data.NumberVector: Type request for two-dimensional number vectors
FIELD_2D - Static variable in interface de.lmu.ifi.dbs.elki.data.NumberVector: Type request for two-dimensional number vectors
FieldTypeInformation - Interface in de.lmu.ifi.dbs.elki.data.type: Types with a fixed dimensionality (e.g. vector fields, but also e.g. polygon types) TODO: implement polygon and rectangle types!
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering: The file to be reparsed.
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.Parameterizer: The file to be reparsed
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore: The file to be reparsed
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer: The file to be reparsed
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory: The input file.
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Parameterizer: The input file.
file - Variable in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile: File to read and write
file - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: The file storing the entries of this index.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache: The underlying file of this cache.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile: Holds the pages.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Random Access File object.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: The file storing the pages.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: The file storing the pages.
FILE_EXTENSION - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Extension for txt-files.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.Parameterizer: Parameter that specifies the name of the file to be re-parsed.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer: Parameter that specifies the name of the file to be re-parsed.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory.Parameterizer: Optional parameter that specifies the name of the file storing the index.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory.Parameterizer: Optional parameter that specifies the name of the file storing the index.
FILE_VERSION - Static variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Version number of this header (magic number).
FileBasedDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource: File based database connection based on the parser to be set.
FileBasedDatabaseConnection(List<ObjectFilter>, Parser, File) - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection: Constructor.
FileBasedDatabaseConnection(List<ObjectFilter>, Parser, String) - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection: Constructor.
FileBasedDatabaseConnection(List<ObjectFilter>, Parser, InputStream) - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection: Constructor.
FileBasedDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource: Parameterization class.
FileBasedSparseDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Distance function that is based on double distances given by a distance matrix of an external ASCII file.
FileBasedSparseDoubleDistanceFunction(DistanceParser, File, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseDoubleDistanceFunction: Constructor.
FileBasedSparseDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Parameterization class.
FileBasedSparseFloatDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Distance function that is based on float distances given by a distance matrix of an external ASCII file.
FileBasedSparseFloatDistanceFunction(DistanceParser, File, float) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction: Constructor.
FileBasedSparseFloatDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Parameterization class.
FileListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a list of files.
FileListParameter(OptionID, FileListParameter.FilesType) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter: Constructs a file list parameter with the given optionID, and file type.
FileListParameter.FilesType - Enum in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu: File menu.
filename - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory: Filename to load.
filename - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer: Filename to load.
filename - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor: File to load.
filename - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: File name.
filename - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: The file name to use
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory: File name.
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory.Parameterizer: File name.
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory: File name.
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory.Parameterizer: File name.
filename - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler: Output file name
filename - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer: Output file name
FILENAME_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: File name prefix for the ELKI functionality discovery.
fileNameEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor: The file selector editor
FileNameEditor() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor: Constructor.
filenameFromLabel(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Derive a file name from the cluster label.
filenames - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: For producing unique filenames.
FileOrderBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk: Trivial bulk loading - assumes that the file has been appropriately sorted before.
FileOrderBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit: Constructor.
FileOrderBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk: Parameterization class.
FileParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a file.
FileParameter(OptionID, FileParameter.FileType) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter: Constructs a file parameter with the given optionID, and file type.
FileParameter(OptionID, FileParameter.FileType, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter: Constructs a file parameter with the given optionID, file type, and optional flag.
FileParameter.FileType - Enum in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.gui.configurator: Provide a configuration panel to choose a file with a file selector button.
FileParameterConfigurator(FileParameter, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator: Constructor.
files - Variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection: Input file list.
files - Variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer: The input files.
files - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
filesType - Variable in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter.FilesType
fileType - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter: The file type of this file parameter.
FileType() - Constructor for enum de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter.FileType
FileUtil - Class in de.lmu.ifi.dbs.elki.utilities.io: Various static helper methods to deal with files and file names.
FileUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.FileUtil: Fake Constructor.
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Parameterizer
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Parameterizer
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer: Fill parameter.
FILL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: String constant.
FILL_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer: Flag for half-transparent filling of bubbles.
FILL_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer: Flag for half-transparent filling of bubbles.
fillAndSort(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Fill the array with the dimension projection needed for sorting.
fillDensities(KNNQuery<O>, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC: Collect all densities into an array for sorting.
FILLED_PAGE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Indicates a filled page.
FILLED_PAGE - Static variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Indicates a filled page.
filter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Settings: Eigenpair filter.
filter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings: Filter for Eigenvectors.
filter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate: Filter for selecting eigenvectors.
filter - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Filter to select eigenvectors.
filter - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer: Filter to select eigenvectors.
filter - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer: Filter for selecting eigenvectors.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter: A standard implementation of the filter process.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.NoMissingValuesFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization
filter(MultipleObjectsBundle) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.ObjectFilter: Filter a set of object packages.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.selection.SortByLabelFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
filter - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform: Filter to use for dimensionality reduction.
filter - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer: Filter to use for dimensionality reduction.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ExternalIDFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter
filter - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory: Filter for selecting eigenvectors
filter - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer: Filter for selecting eigenvectors
filter - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex: Filter for selecting eigenvectors
filter - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AutotuningPCA: Filter to select eigenvectors.
filter - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AutotuningPCA.Parameterizer: Filter to select eigenvectors.
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.DropEigenPairFilter
filter(double[]) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.LimitEigenPairFilter
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter: Filter eigenpairs.
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter: Filter eigenpairs
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter
filter(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.WeakEigenPairFilter
filter - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter: Result filter pattern.
filter - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer: Result filter pattern.
filter(Class<? super T>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.EmptyIterator
filter(Predicate<? super O>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.EmptyIterator
filter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.FilteredIt: Class filter.
filter(Class<? super T>) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.It: Filtered iteration.
filter(Predicate<? super O>) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.It: Filtered iteration.
filter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.SubtypeIt: Class filter.
filter1(int, int, List<DAFile>, VectorApproximation, int, VALPNormDistance) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery
FILTER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer: To specify the eigenvectors to keep.
FILTER_PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer: Pattern to filter the output
FilteredConvexHull2D - Class in de.lmu.ifi.dbs.elki.math.geometry: Accelerate computing the convex hull with a simple filter.
FilteredConvexHull2D() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D: Constructor.
FilteredDistanceResultAdapter - Class in de.lmu.ifi.dbs.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(DoubleDBIDListIter, DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.FilteredDistanceResultAdapter: Constructor
FilteredIt<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator: Filtered iterator.
FilteredIt(It<O>, Predicate<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.FilteredIt: Constructor.
FilteredLocalPCAIndex<NV extends NumberVector> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.localpca: Interface for an index providing local PCA results.
FilteredLocalPCAIndex.Factory<NV extends NumberVector> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.localpca: Factory interface
filterField - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.TextWriterPanel: Filter text field.
filterResults(ResultHierarchy, Result, Class<? super C>) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil: Return only results of the given restriction class
filterResults(ResultHierarchy, Class<? super C>) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil: Return only results of the given restriction class
filters - Variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection: The filters to invoke
filters - Variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer: Filters
FILTERS_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer: Filters to apply to the input data.
filterSingleObject(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter: Normalize a single instance.
filterSingleObject(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter: Normalize a single instance.
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.LengthNormalization
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization
filterSingleObject(O) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter
filterSingleObject(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter
filterSingleObject(NumberVector) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter
filterSingleObject(NumberVector) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter
FilterUtil - Class in de.lmu.ifi.dbs.elki.datasource.filter: Utilities for implementing filters.
FilterUtil() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil: Fake constructor: do not instantiate.
finalAssignment(List<Pair<double[], long[]>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Refinement step to assign the objects to the final clusters.
finalize() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Upon destruction, report any errors that weren't handled yet.
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
finalizeCluster() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel: Finalize a cluster model.
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel
finalizeCluster(HDBSCANHierarchyExtraction.TempCluster, Clustering<DendrogramModel>, Cluster<DendrogramModel>, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Make the cluster for the given object
finalizeEStep(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
finalizeEStep(double, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel: Finalize the E step.
finalizeEStep(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
finalizeEStep(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
finalizeEStep(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel
finalizeEStep(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel
finalizeFirstPassE() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel: Finalize the first pass of the E step.
finalizeFirstPassE() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel: Finish computation of the mean.
finalMomentum - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE: Final momentum.
finalMomentum - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE.Parameterizer: Final momentum.
finalMomentum - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE: Final momentum.
finalMomentum - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.Parameterizer: Final momentum.
find(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList: Find the last position with a smaller or equal key.
find(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.It: Find a given object in the iterator; consumes the iterator.
find(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFind: Find the component ID of an element.
find(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Find the parent of an object.
find(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
find(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
findAllImplementations(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Find all implementations of a particular interface.
findAllImplementations(Class<?>, boolean, boolean) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Find all implementations of a given class in the classpath.
findAndEvaluateThreshold(DoubleDynamicHistogram) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS: Evaluate the histogram to find a suitable threshold
findBasis(Relation<V>, ORCLUS<V>.ORCLUSCluster, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Finds the basis of the subspace of dimensionality dim for the specified cluster.
findBest(int, double[], double[], int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
findBest(int, double[], double[], int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxAnderberg
findBest(ArrayModifiableDBIDs, DBIDArrayMIter, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance: Find the minimum in the candidates array.
findBestFit(List<V>, AttributeWiseCDFNormalization.Adapter, int, double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization: Find the best fitting distribution.
findBestSwaps(DBIDArrayIter, ArrayModifiableDBIDs, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.Instance: Find the best swaps.
findClassLabelColumn(MultipleObjectsBundle) - Static method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout: Find the class label column in the given data set.
findClosestNode(NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.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(ResultHierarchy, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil: Find the first database result in the tree.
findDatabase(ResultHierarchy) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil: Find the first database result in the tree.
findDenseSubspaceCandidates(Relation<? extends NumberVector>, List<CLIQUESubspace>) - Method in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization: Compute the size of the clustering.
findDepth(Hierarchy<Cluster<M>>, Cluster<M>, int[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization: Recursive depth computation.
findDimensions(ArrayDBIDs, Relation<V>, DistanceQuery<V>, RangeQuery<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Determines the set of correlated dimensions for each medoid in the specified medoid set.
findDimensions(ArrayList<PROCLUS.PROCLUSCluster>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Refinement step that determines the set of correlated dimensions for each cluster centroid.
findEigenVectors(double[][], double[][], double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Find the first eigenvectors and eigenvalues using power iterations.
findImplementation(Class<? super C>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Find an implementation of the given interface / super class, given a relative class name or alias name.
findLabelColumn(MultipleObjectsBundle) - Static method in class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil: Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a bundle.
findLabelColumn(BundleMeta) - Static method in class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil: Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a type information.
findLeaf(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree: Find the leaf of a cluster, to get the final cluster assignment.
findLeaf(CFTree.TreeNode, NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree: Find the leaf of a cluster, to get the final cluster assignment.
findMatches(ModifiableDBIDs, Relation<?>, Object) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance: Find all matching objects.
findMax(DistanceQuery<?>, DBIDIter, DBIDs, double, double) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax: Find the maximum distance of one object to a set.
findMerge(int, MatrixParadigm, PointerHierarchyRepresentationBuilder) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES: Perform the next merge step in AGNES.
findMerge(int, MatrixParadigm, double[], int[], PointerHierarchyRepresentationBuilder) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering: Perform the next merge step.
findMerge(int, MatrixParadigm, DBIDArrayMIter, PointerHierarchyRepresentationBuilder, Int2ObjectOpenHashMap<ModifiableDBIDs>, DistanceQuery<?>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax: Find the best merge.
findMerge(int, MatrixParadigm, DBIDArrayMIter, PointerHierarchyRepresentationBuilder, Int2ObjectOpenHashMap<ModifiableDBIDs>, double[], int[], DistanceQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxAnderberg: Perform the next merge step.
findNeighbors(DBIDRef, long[], ArrayModifiableDBIDs, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC: Find the neighbors of point q in the given subspace
findNewResults(VisualizerContext, Object) - Static method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator: Find the next entry, since we need to skip some directories.
findOneDimensionalDenseSubspaceCandidates(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Determines the one-dimensional dense subspace candidates by making a pass over the database.
findOneDimensionalDenseSubspaces(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Determines the one dimensional dense subspaces and performs a pruning if this option is chosen.
findOptimalRoot(int[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.layout.AbstractLayout3DPC: Find the "optimal" root of a spanning tree.
findOrCreate(ResultHierarchy, Result, String, String) - Static method in class de.lmu.ifi.dbs.elki.result.EvaluationResult: Find or create an evaluation result.
findOrCreateGroup(String) - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult: Find or add a new measurement group.
findOrientation(SweepHullDelaunay2D.Triangle) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: Find the orientation of the triangles to each other.
findOutliers(Relation<V>, List<MultivariateGaussianModel>, ArrayList<P3C.ClusterCandidate>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.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<V>, Pair<long[], ArrayModifiableDBIDs>, Object2ObjectMap<long[], List<ArrayModifiableDBIDs>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Returns the parent of the specified cluster
findPathToObject(IndexTreePath<E>, SpatialComparable, DBIDRef) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax: Find the prototypes.
findPrototype(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerPrototypeHierarchyRepresentationResult: Extract the prototype of a given cluster.
findPrototypeSingleton(DistanceQuery<?>, DBIDs, DBIDRef, DBIDVar) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax: Find the prototypes.
findSeparation(Relation<NumberVector>, DBIDs, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
findSNNNeighbors(SimilarityQuery<O>, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Returns the shared nearest neighbors of the specified query object in the given database.
findSplit(DBIDArrayIter) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance: Find the splitting point in the ordered DBIDs list.
findSplit(DBIDArrayIter) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight.Instance
findSplit(DBIDArrayIter) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Instance
findSplitpoint(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Find the first space before position w or if there is none after w.
findStartingPoint() - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: Find the starting point, and sort it to the beginning of the list.
findUnlinked(int, int, DBIDArrayIter, PointerHierarchyRepresentationBuilder) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.NNChain: Find an unlinked object.
findVis(VisualizerContext) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree: Filtered iteration over a stacked hierarchy.
findVis(VisualizerContext, Object) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree: Filtered iteration over a stacked hierarchy.
fine(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
fine(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
finer(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finer' debugging level.
finer(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finer' debugging level.
finest(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finest' debugging level.
finest(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finest' debugging level.
finishGridRow() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator: Complete the current grid row, adding the icon at the end
FiniteProgress - Class in de.lmu.ifi.dbs.elki.logging.progress: A progress object for a given overall number of items to process.
FiniteProgress(String, int) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress: Constructor.
FiniteProgress(String, int, Logging) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress: Constructor with auto-reporting to logging.
fireActionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup: Notify action listeners.
fireCameraChangedEvent() - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.Simple1DOFCamera: Fire the camera changed event.
fireKNNsInserted(DBIDs, DBIDs) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Handles a DataStoreEvent with the specified type.
fireObjectInserted(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Event when a new object was inserted.
fireObjectRemoved(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Event when an objects was removed / deleted.
fireObjectsChanged(DBIDs, DatabaseEventManager.Type) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Handles a DataStoreEvent with the specified type.
fireObjectsInserted(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Event when new objects are inserted.
fireObjectsRemoved(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Event when objects were removed / deleted.
fireObjectsUpdated(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Event when objects have changed / were updated.
fireObjectsUpdated(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Event when an object was changed / updated.
firePanelUpdated() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
fireResultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Informs all registered ResultListener that a new result was added.
fireResultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Informs all registered ResultListener that a new result was added.
fireResultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Informs all registered ResultListener that a result has changed.
fireResultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: Informs all registered ResultListener that a new result has been removed.
fireResultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy: Informs all registered ResultListener that a new result has been removed.
fireSwitchEvent(ChangeEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Fire the event to listeners
fireValueChanged() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator: Notify listeners of a changed value.
fireValueChanged() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
first - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.DoubleIntInt
first - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair: First value in pair
first - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr: State
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair: first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair: first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair: Double value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: First value in pair
FIRST_PRIMES - Static variable in class de.lmu.ifi.dbs.elki.math.Primes: The first 1000 prime numbers
firstAssignments - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments: The assignments to the first routing object.
firstEventReceived - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.LOFKNNListener: Holds the first event of one of the both preprocessors.
FirstKInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Initialize K-means by using the first k objects as initial means.
FirstKInitialMeans() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FirstKInitialMeans: Constructor.
FirstKInitialMeans.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Parameterization class.
FirstNEigenPairFilter - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter: Constructor.
FirstNEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.filter: Parameterization class.
FirstNStreamFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection: Keep only the first N elements of the data source.
FirstNStreamFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.FirstNStreamFilter: Constructor.
FirstNStreamFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection: Parameterization class
firstPassE(NumberVector, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel: First run in the E step.
firstPassE(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel: First pass: update the mean only.
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DerivativeDTWDistanceFunction
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction: Fill the first row.
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
FisherRaoDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic: Fisher-Rao riemannian metric for (discrete) probability distributions.
FisherRaoDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.FisherRaoDistanceFunction: Deprecated.
FisherRaoDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic: Parameterization class.
fitness - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum
FittingFunction - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.fitting: Interface for a function used in Levenberg-Marquard-Fitting
FittingFunctionResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.fitting: Result returned by a fitting function.
FittingFunctionResult(double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.FittingFunctionResult: Trivial/generic constructor for the result class
FixedDBIDsFilter - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter: Constructor.
FixedDBIDsFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parameterization class.
fixedmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling: Field storing the fixed mean to use
fixedmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer: Field storing the fixed mean to use
FixedSizeByteBufferSerializer<T> - Interface in de.lmu.ifi.dbs.elki.utilities.io: Serializers with a fixed length serialization.
Flag - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Option class specifying a flag object.
Flag(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag: Constructs a flag object with the given optionID.
FLAG_HIDDEN - Static variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel: Flag for visibility
FLAG_INTERPOLATED - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary: Meta flag to request an 'interpolated' version of the style
FLAG_INVERTED - Static variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel: Flag for inverted dimensions TODO: handle inversions via scales?
FLAG_STRONG - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary: Meta flag to request a 'stronger' version of the style
FLAG_WEAK - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary: Meta flag to request a 'weaker' version of the style
FlagParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator: Provide a configuration panel to modify a boolean via a checkbox.
FlagParameterConfigurator(Flag, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.FlagParameterConfigurator
flags - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
flags - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel: Flags for the dimensions
flags - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Render capabilities
FlatRStarTree - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree: Constructor.
FlatRStarTreeFactory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat: Factory for flat R*-Trees.
FlatRStarTreeFactory(PageFileFactory<?>, RTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory: Constructor.
FlatRStarTreeFactory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat: Parameterization class.
FlatRStarTreeIndex<O extends NumberVector> - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: Constructor.
FlatRStarTreeNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat: Represents a node in a flat R*-Tree.
FlatRStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode: Empty constructor for Externalizable interface.
FlatRStarTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode: Creates a new FlatRStarTreeNode with the specified parameters.
FlexibleBetaLinkage - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage: Flexible-beta linkage as proposed by Lance and Williams.
FlexibleBetaLinkage(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.FlexibleBetaLinkage: Constructor.
FlexibleBetaLinkage.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage: Parameterization class.
FlexibleLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Flexible variant of the "Local Outlier Factor" algorithm.
FlexibleLOF(int, int, DistanceFunction<? super O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF: Constructor.
FlexibleLOF.LOFResult<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the FlexibleLOF algorithm.
FlexibleLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
flipC(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Invert bit number "off" in v.
flipI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Invert bit number "off" in v.
flipSecondEquals(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection: Flip the y axis.
flipTriangle(int, long[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Flip a single triangle, if necessary.
flipTriangles(long[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Flip triangles as necessary
flipTriangles(long[], long[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Flip triangles as necessary
FLOAT0 - Static variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Float constant, for missing values in (inefficient) SparseFloatVector.getValue(int) API.
FLOAT_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect: Adapter for float arrays.
FLOAT_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Magic to identify double cache matrices
FLOAT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil: Static instance.
FLOAT_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Input type for algorithms that require number vector fields.
FLOATARRAYADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Use a float array in the array API.
FloatArrayAdapter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike: Use a float[] in the ArrayAdapter API.
FloatArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FloatArrayAdapter: Private constructor - use the static instance in FloatArrayAdapter.STATIC!
FloatSerializer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.FloatSerializer: Constructor.
floatToDoubleLower(float) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Return the largest double that rounds up to this float.
floatToDoubleUpper(float) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Return the largest double that rounds down to this float.
floatValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
floatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
floatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns the value in the specified dimension as float.
floatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Deprecated.
floatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterFloatValue(int).
FloatVector - Class in de.lmu.ifi.dbs.elki.data: Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
FloatVector(float[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector: Private constructor.
FloatVector(float[]) - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector: Create a FloatVector consisting of the given float values.
FloatVector.Factory - Class in de.lmu.ifi.dbs.elki.data: Factory for float vectors.
FloatVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
FloatVector.ShortSerializer - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data: Serialization class for variable dimensionality by using VarInt encoding.
flush() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane.LogPaneHandler
flush() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel.LogPanelHandler
flush() - Method in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Flush output streams
flush() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache: Flushes this caches by writing any entry to the underlying file.
flush() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Flush output: write inline data, then write comment section.
flushBuffer(ByteBuffer, WritableByteChannel) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter: Flush the current write buffer to disk.
flushDataStoreEvents() - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
flushDataStoreEvents() - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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, double, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable.Util: F-Measure
fMeasure(double) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Get the pair-counting F-Measure
fMeasureFirst() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity: Get the Van Rijsbergen’s F measure (asymmetric) for first clustering E.
fMeasureSecond() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity: Get the Van Rijsbergen’s F measure (asymmetric) for second clustering E.
FMT - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Formatter to output numbers in a valid SVG number format.
fmt(double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Format a double according to the SVG specs.
focusGained(FocusEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler
focusLost(FocusEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler
fold - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation: Holds the number of folds, current fold.
fold - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation: Holds the number of folds, current fold.
fold - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation: Holds the number of folds, current fold.
FOLDER_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer: Parameter to specify the output folder
folderIcon - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer: Icons
folders - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
follow(int, int[]) - Static method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit: Union-find with simple path compression.
FONT_FAMILY - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Font family
fontsize - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMenuOverlay: Font size.
fontsize - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMessageOverlay: Font size.
fontsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Font size to use.
fontsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Font size to use.
FORCE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer: Force linear scanning.
FORCE_LABEL_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer: Force label parameter.
forceLabel - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper: Optional label to force for this output.
forceLabel - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer: Optional label to force for this output.
forcelinear - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex: Force linear scanning.
forcelinear - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer: Force linear scanning.
forEach(Consumer<? super DBIDRef>) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs: Execute a function for each ID.
forEach(Consumer<? super DBIDRef>) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
forEach(BiConsumer<? super DBIDRef, ? super O>) - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation: Execute a function for each ID.
forEach(Consumer<? super O>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.EmptyIterator
forEach(Consumer<? super O>) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.It: Process the remaining elements - this will invalidate the iterator.
forEach(IntConsumer) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.CombinedIntGenerator
forEach(IntConsumer) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.ExponentialIntGenerator
forEach(IntConsumer) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.range.IntGenerator: Process the entire series once.
forEach(IntConsumer) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.LinearIntGenerator
forEach(IntConsumer) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.StaticIntGenerator
forEachDouble(DoubleDBIDList.Consumer) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDList: Execute a function for each ID.
forEachDouble(DoubleRelation.Consumer) - Method in interface de.lmu.ifi.dbs.elki.database.relation.DoubleRelation: Execute a function for each ID.
forgetRenderedImage() - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Free memory used by rendered image.
forgetTextures(GL) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.Parallel3DRenderer
format - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators: Output format parameter.
format - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer: Output format parameter.
format - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser.Parameterizer: Reader format.
format - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser.Parameterizer: Reader format.
format(Object...) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Format objects to a command line.
format(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.ErrorFormatter
format(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.MessageFormatter: Retrieves the message as it is set in the given LogRecord.
format(NumberFormat, StringBuilder, double, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Helper method for output of equations and solution.
format - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations: Output file format.
Format() - Constructor for enum de.lmu.ifi.dbs.elki.result.ExportVisualizations.Format
format - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer: Output file format.
format(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with ', ' as separator and default precision.
format(double[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with the specified separator.
format(double[], NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with the specified number format.
format(double[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with the specified number format.
format(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Returns a string representation of this vector.
format(float[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the float array d with the specified number format.
format(float[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the float array d with the specified number format.
format(float[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the float array f with ',' as separator and default precision.
format(int[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the int array a for printing purposes.
format(int[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the int array a for printing purposes.
format(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the long array a for printing purposes.
format(byte[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the byte array a for printing purposes.
format(boolean[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the boolean array b with ',' as separator.
format(boolean) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the boolean b.
format(double[][]) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with ',' as separator and 2 fraction digits.
format(double[][], String, String, String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the array of double arrays d with 'the specified separators and fraction digits.
format(double[][], int, int, String, String, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Returns a string representation of this matrix.
format(double[][], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Returns a string representation of this matrix.
format(double[][], NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: returns String-representation of Matrix.
format(Collection<String>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the String collection with the specified separator.
format(String[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the string array d with the specified separator.
format - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar: Number format, set to print the actual score
FORMAT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer: Output format.
FORMAT_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer: Parameter to specify the output format
formatBit(StringBuilder, boolean) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Format a boolean value as string "1" or "0".
formatCause(Throwable) - Static method in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Format the error cause.
formatCSSClass(CSSClass, int, double, Object...) - Method in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
formatCSSClass(CSSClass, int, double, Object...) - Method in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary: Add the formatting statements to the given CSS class.
formatCSSClass(CSSClass, int, double, Object...) - Method in class de.lmu.ifi.dbs.elki.visualization.style.lines.SolidLineStyleLibrary
formatForConsole(StringBuilder, int, Collection<TrackedParameter>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil: Format a list of options (and associated owning objects) for console help output.
formatRead(String) - Static method in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Format the value read for the parameter.
FORMATS - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog: Supported file format (extensions)
formatSelector - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
formatTimeDelta(long, CharSequence) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats a time delta in human readable format.
formatTo(StringBuilder, List<?>) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Format a list of strings to a buffer.
formatTo(StringBuilder, String) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Format a single string for the command line.
formatTo(StringBuilder, double[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with the default number format.
formatTo(StringBuilder, double[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the double array d with the specified number format.
formatTo(StringBuilder, float[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the float array d with the default number format.
formatTo(StringBuilder, float[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the float array d with the specified number format.
formatTo(StringBuilder, int[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the int array d.
formatTo(StringBuilder, long[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the long array d.
formatTo(StringBuilder, short[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the short array d.
formatTo(StringBuilder, byte[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the byte array d.
formatTo(StringBuilder, boolean[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the boolean array d.
formatTo(StringBuilder, boolean) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Format a boolean value as string "true" or "false".
formatTo(StringBuilder, double[][], String, String, String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Formats the array of double arrays d with the specified separators and fraction digits.
FormatUtil - Class in de.lmu.ifi.dbs.elki.utilities.io: Utility methods for output formatting of various number objects FIXME: Handle formatting of infinity and NaN better.
FormatUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil: Private constructor.
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.DoubleStatistic
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
formatValue() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Statistic: Get a formatted version of the value, for output.
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.StringStatistic
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
formatValue(double) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: Format as string.
FourC<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: 4C identifies local subgroups of data objects sharing a uniform correlation.
FourC(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC: Constructor.
FourC.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Parameterization class.
FourC.Settings - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Class wrapping the 4C parameter settings.
FourC.Settings.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Parameterization class for 4C settings.
FourCCorePredicate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: The 4C core point predicate.
FourCCorePredicate(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate: Default constructor.
FourCCorePredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Instance for a particular data set.
FourCCorePredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Parameterization class
FourCNeighborPredicate<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: 4C identifies local subgroups of data objects sharing a uniform correlation.
FourCNeighborPredicate(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate: Constructor.
FourCNeighborPredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Instance for a particular data set.
FourCNeighborPredicate.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Parameterization class.
fowlkesMallows() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Computes the pair-counting Fowlkes-mallows (flat only, non-hierarchical!)
FPGrowth - Class in de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth: Constructor.
FPGrowth.FPNode - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: A single node of the FP tree.
FPGrowth.FPNode.Translator - Interface in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: Translator class for tree printing.
FPGrowth.FPTree - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: FP-Tree data structure
FPGrowth.FPTree.Collector - Interface in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: Interface for collecting frequent itemsets found.
FPGrowth.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: Parameterization class.
FPNode(FPGrowth.FPNode, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode: Constructor.
FPTree(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree: Constructor.
FractionalSharedNearestNeighborSimilarityFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction: SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
FractionalSharedNearestNeighborSimilarityFunction(SharedNearestNeighborIndex.Factory<O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction: Constructor.
FractionalSharedNearestNeighborSimilarityFunction.Instance<T> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction: Actual instance for a dataset.
FractionalSharedNearestNeighborSimilarityFunction.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction: Parameterization class.
frame - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: The frame
frame - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: The frame
frame - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: Containing frame.
frame - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Frame
frameBufferID - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.Parallel3DRenderer: Framebuffer for render-to-texture
frequentItemAlgo - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration: Frequent Itemset Algorithm to be used.
frequentItemAlgo - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Parameterizer: Parameter for frequent itemset mining.
FREQUENTITEMALGO_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Parameterizer: Parameter to specify the frequentItemsetAlgorithm to be used.
frequentItemsets(List<? extends Itemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI: Returns the frequent BitSets out of the given BitSets with respect to the given database.
FrequentItemsetsResult - Class in de.lmu.ifi.dbs.elki.result: Result class for frequent itemset mining algorithms.
FrequentItemsetsResult(String, String, List<Itemset>, VectorFieldTypeInformation<BitVector>, int) - Constructor for class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult: Constructor.
frequentItemsetsSparse(List<SparseItemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI: Returns the frequent BitSets out of the given BitSets with respect to the given database.
from(DBIDDataStore, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar: Update variable from a data store.
from(DBIDDataStore, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.BitVector.ShortSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.ShortSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.SmallSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.ShortSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.SmallSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.ShortSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.SmallSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.LabelList.Serializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.ShortSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Serializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.VariableSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorTypeSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DynamicSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ByteSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.DoubleSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.FloatSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.IntegerSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.LongSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ShortSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.StringSerializer
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.VarintSerializer: Deprecated.
fromByteBuffer(ByteBuffer) - Method in interface de.lmu.ifi.dbs.elki.utilities.io.ByteBufferSerializer: Deserialize an object from a byte buffer (e.g. disk)
fromMinMax(double, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling: Make a linear scaling from a given minimum and maximum.
fromStream(BundleStreamSource) - Static method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle: Convert an object stream to a bundle
fulldatabase - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: The entire relation.
FullDatabaseReferencePoints - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints: Strategy to use the complete database as reference points.
FullDatabaseReferencePoints() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.FullDatabaseReferencePoints: Constructor, Parameterizable style.
FullProjection - Interface in de.lmu.ifi.dbs.elki.visualization.projections: Full vector space projections.
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Perform a full redraw.
fullRedraw() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization: Request a full redrawing of the visualization.
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance
FullTable(int) - Constructor for class de.lmu.ifi.dbs.elki.math.SinCosTable.FullTable: Constructor for tables with
func - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Function to fit to
function(double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction: Computes the function value at alpha.


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