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
All Classes All Packages

F

f - Variable in class elki.math.geodesy.AbstractEarthModel

Model parameters: flattening, inverse flattening.

f_maxima - Variable in class elki.clustering.correlation.cash.CASHIntervalSplit

Caches maximum function values for given intervals, used for better split performance.

f_minima - Variable in class elki.clustering.correlation.cash.CASHIntervalSplit

Caches minimum function values for given intervals, used for better split performance.

F1 - Static variable in class elki.math.statistics.distribution.estimator.RayleighMADEstimator

See reference for the derivation of this constants.

f1Measure() - Method in class elki.evaluation.clustering.BCubed

Get the BCubed F1-Measure

f1Measure() - Method in class elki.evaluation.clustering.EditDistance

Get the edit distance F1-Measure

f1Measure() - Method in class elki.evaluation.clustering.PairCounting

Get the pair-counting F1-Measure.

f1Measure() - Method in class elki.evaluation.clustering.SetMatchingPurity

Get the set matching F1-Measure

F2 - Static variable in class elki.math.statistics.distribution.estimator.RayleighMADEstimator

See reference for the derivation of this constants.

factor - Variable in class elki.math.geometry.GrahamScanConvexHull2D

Scaling factor if we have very small polygons.

factor - Variable in class elki.utilities.datastructures.range.ExponentialIntGenerator

Step factor.

factor - Variable in class elki.utilities.scaling.LinearScaling

Scaling factor

factor - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling

Scaling factor to use (1/ max - min)

factor - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling

Scaling factor

factor - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Effective parameters.

factor - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling

Scaling factor to use (usually: Lambda * Stddev * Sqrt(2))

factor(int) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

Returns a factor for normalization in a certain dimension.

factorial(int) - Static method in class elki.math.MathUtil

Compute the Factorial of n, often written as c!

factories - Variable in class elki.visualization.VisualizerContext

Factories to use

factories - Variable in class elki.visualization.VisualizerParameterizer

Projections and visualization factories.

factories - Variable in class elki.visualization.VisualizerParameterizer.Par

Visualizer factories

factory - Variable in class elki.data.projection.FeatureSelection

Object factory.

factory - Variable in class elki.data.projection.LatLngToECEFProjection

Vector factory to use.

factory - Variable in class elki.data.projection.LngLatToECEFProjection

Vector factory to use.

factory - Variable in class elki.data.projection.NumericalFeatureSelection

Object factory.

factory - Variable in class elki.data.projection.RandomProjection

Vector factory.

factory - Variable in class elki.data.type.VectorTypeInformation

Object factory for producing new instances.

factory - Variable in class elki.datasource.filter.AbstractVectorConversionFilter

Number vector factory.

factory - Variable in class elki.datasource.filter.AbstractVectorStreamConversionFilter

Number vector factory.

factory - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization

Number vector factory.

factory - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

Number vector factory.

factory - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

Number vector factory.

factory - Variable in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform

Vector factory.

factory - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform

Vector factory.

factory - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par

Vector factory.

factory - Variable in class elki.datasource.filter.transform.LatLngToECEFFilter

Vector factory to use.

factory - Variable in class elki.datasource.filter.transform.LngLatToECEFFilter

Vector factory to use.

factory - Variable in class elki.datasource.parser.NumberVectorLabelParser

Vector factory class.

factory - Variable in class elki.datasource.parser.NumberVectorLabelParser.Par

Factory object.

factory - Variable in class elki.index.tree.betula.CFTree

Cluster feature factory

factory - Variable in class elki.index.tree.betula.CFTree.Factory

Cluster feature factory

factory - Variable in class elki.index.tree.betula.CFTree.Factory.Par

Cluster feature factory

factory - Variable in class elki.similarity.AbstractIndexBasedSimilarity.Par

The index factory we use.

factory - Variable in class elki.visualization.VisualizationTask

The factory

Factory() - Constructor for class elki.data.BitVector.Factory

Factory() - Constructor for class elki.data.ByteVector.Factory

Factory() - Constructor for class elki.data.ClassLabel.Factory

Factory() - Constructor for class elki.data.DoubleVector.Factory

Factory() - Constructor for class elki.data.FloatVector.Factory

Factory() - Constructor for class elki.data.HierarchicalClassLabel.Factory

Factory() - Constructor for class elki.data.IntegerVector.Factory

Factory() - Constructor for class elki.data.OneDimensionalDoubleVector.Factory

Factory() - Constructor for class elki.data.ShortVector.Factory

Factory() - Constructor for class elki.data.SimpleClassLabel.Factory

Factory() - Constructor for class elki.data.SparseByteVector.Factory

Factory() - Constructor for class elki.data.SparseDoubleVector.Factory

Factory() - Constructor for class elki.data.SparseFloatVector.Factory

Factory() - Constructor for class elki.data.SparseIntegerVector.Factory

Factory() - Constructor for class elki.data.SparseShortVector.Factory

Factory() - Constructor for class elki.data.uncertain.SimpleGaussianContinuousUncertainObject.Factory

Factory() - Constructor for class elki.data.uncertain.UniformContinuousUncertainObject.Factory

Factory() - Constructor for class elki.data.uncertain.UnweightedDiscreteUncertainObject.Factory

Factory() - Constructor for class elki.data.uncertain.WeightedDiscreteUncertainObject.Factory

Factory() - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex.Factory

Factory() - Constructor for class elki.index.tree.betula.features.BIRCHCF.Factory

Factory() - Constructor for class elki.index.tree.betula.features.VIIFeature.Factory

Factory() - Constructor for class elki.index.tree.betula.features.VVIFeature.Factory

Factory() - Constructor for class elki.index.tree.betula.features.VVVFeature.Factory

Factory() - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory

Constructor.

Factory() - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory

Constructor.

Factory() - Constructor for class elki.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood.Factory

Factory(double, int, RandomProjectionFamily, RandomFactory) - Constructor for class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory

Constructor.

Factory(int) - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory

Constructor.

Factory(int) - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory

Constructor.

Factory(int, int) - Constructor for class elki.index.vafile.PartialVAFile.Factory

Constructor.

Factory(int, int) - Constructor for class elki.index.vafile.VAFile.Factory

Constructor.

Factory(int, Distance<? super NumberVector>) - Constructor for class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory

Index factory.

Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory

Index factory.

Factory(int, Distance<? super O>) - Constructor for class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<? super O>) - Constructor for class elki.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory

Factory Constructor

Factory(int, Distance<? super O>, double, RandomFactory) - Constructor for class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<? super O>, int, RandomFactory) - Constructor for class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<? super O>, RandomFactory, double, double, boolean, int) - Constructor for class elki.index.preprocessed.knn.NNDescent.Factory

Constructor.

Factory(int, Distance<? super O>, Path) - Constructor for class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory

Index factory.

Factory(int, Distance<? super V>, List<? extends SpatialSorter>, double, int, RandomFactory) - Constructor for class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory

Constructor.

Factory(int, Distance<O>) - Constructor for class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory

Constructor.

Factory(BIRCHDistance, BIRCHAbsorptionCriterion, double, int, double) - Constructor for class elki.clustering.hierarchical.birch.CFTree.Factory

Constructor.

Factory(Projection<O, I>, IndexFactory<I>, boolean, boolean, double) - Constructor for class elki.index.projected.ProjectedIndex.Factory

Constructor.

Factory(Distance<? super O>) - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix.Factory

Constructor.

Factory(Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory

Constructor.

Factory(Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.CoverTree.Factory

Constructor.

Factory(Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory

Constructor.

Factory(Distance<? super O>, int, int, RandomFactory) - Constructor for class elki.index.laesa.LAESA.Factory

Constructor.

Factory(Distance<? super O>, RandomFactory, int) - Constructor for class elki.index.tree.metrical.vptree.GNAT.Factory

Constructor.

Factory(Distance<? super O>, RandomFactory, int, int) - Constructor for class elki.index.tree.metrical.vptree.VPTree.Factory

Constructor.

Factory(Distance<? super V>, KMedoidsInitialization<V>, int) - Constructor for class elki.index.idistance.InMemoryIDistanceIndex.Factory

Constructor.

Factory(IndexFactory<O>, boolean, boolean, EarthModel) - Constructor for class elki.index.projected.LatLngAsECEFIndex.Factory

Constructor.

Factory(IndexFactory<O>, boolean, boolean, EarthModel) - Constructor for class elki.index.projected.LngLatAsECEFIndex.Factory

Constructor.

Factory(ClusterFeature.Factory<L>, CFDistance, CFDistance, double, int, double, CFTree.Threshold) - Constructor for class elki.index.tree.betula.CFTree.Factory

Constructor.

Factory(SplitStrategy, int) - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree.Factory

Constructor.

Factory(NeighborSetPredicate.Factory<O>) - Constructor for class elki.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory

Constructor.

Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory

Constructor.

Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory

Constructor.

Factory(Similarity<? super O>) - Constructor for class elki.index.distancematrix.PrecomputedSimilarityMatrix.Factory

Constructor.

Factory(URI) - Constructor for class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory

Constructor.

Factory(List<? extends SpatialSorter>, double, int, int, RandomProjectionFamily, RandomFactory) - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory

Constructor.

FACTORY - Static variable in class elki.data.BitVector

Static instance.

FACTORY - Static variable in class elki.data.DoubleVector

Static factory instance.

FACTORY - Static variable in class elki.data.FloatVector

Static factory instance.

FACTORY - Static variable in class elki.data.SparseByteVector

Static instance.

FACTORY - Static variable in class elki.data.SparseDoubleVector

Static instance.

FACTORY - Static variable in class elki.data.SparseFloatVector

Static instance.

FACTORY - Static variable in class elki.data.SparseIntegerVector

Static instance.

FACTORY - Static variable in class elki.data.SparseShortVector

Static instance.

FACTORY - Static variable in class elki.data.uncertain.SimpleGaussianContinuousUncertainObject

Vector factory.

FACTORY - Static variable in class elki.data.uncertain.UniformContinuousUncertainObject

Vector factory.

FACTORY - Static variable in class elki.data.uncertain.UnweightedDiscreteUncertainObject

Vector factory.

FACTORY - Static variable in class elki.data.uncertain.WeightedDiscreteUncertainObject

Vector factory.

FACTORY - Static variable in interface elki.database.datastore.DataStoreFactory

Static storage factory

FACTORY - Static variable in interface elki.database.ids.DBIDFactory

Static DBID factory to use.

FACTORY_FILE_EXT - Static variable in class elki.utilities.ELKIServiceScanner.DirClassIterator

FACTORY_METHOD_NAME - Static variable in class elki.utilities.ClassGenericsUtil

Name for a static "parameterize" factory method.

FACTORY_POSTFIX - Static variable in class elki.utilities.ELKIServiceRegistry

Factory class postfix.

FACTORY_POSTFIX - Static variable in class elki.utilities.ELKIServiceScanner

Factory class postfix.

FAILED_LOAD - Static variable in class elki.utilities.ELKIServiceRegistry

Value to abuse for failures.

failOnErrors() - Method in class elki.utilities.optionhandling.parameterization.AbstractParameterization

Fail on errors, log any error that had occurred.

fallback - Variable in class elki.result.textwriter.TextWriter

Fallback writer for unknown objects.

fallbackwriter - Variable in class elki.result.textwriter.TextWriterStream

Fallback writer, using toString.

FALSE - Static variable in class elki.data.Bit

False bit.

falseNegatives(int) - Method in class elki.evaluation.classification.ConfusionMatrix

The false negatives for the specified class.

falsePositiveRate() - Method in class elki.evaluation.classification.ConfusionMatrix

Provides the false positive rate.

falsePositiveRate(int) - Method in class elki.evaluation.classification.ConfusionMatrix

Provides the false positive rate for the specified class.

falsePositives(int) - Method in class elki.evaluation.classification.ConfusionMatrix

The false positives for the specified class.

family - Variable in class elki.data.projection.RandomProjection

Random projection family

family - Variable in class elki.data.projection.RandomProjection.Par

Random generator.

family - Variable in class elki.index.lsh.InMemoryLSHIndex

LSH hash function family to use.

family - Variable in class elki.index.lsh.InMemoryLSHIndex.Par

LSH hash function family to use.

FAMILY_ID - Static variable in class elki.data.projection.RandomProjection.Par

Parameter for the projection family.

FAMILY_ID - Static variable in class elki.index.lsh.InMemoryLSHIndex.Par

Hash function family parameter.

far - Variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter

Temp buffer we use for computations.

FarReinsert - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert

Reinsert objects on page overflow, starting with farther objects first (even when they will likely be inserted into the same page again!)

FarReinsert(double, SpatialPrimitiveDistance<?>) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert

Constructor.

FarReinsert.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.reinsert

Parameterization class.

FarthestBalancedDistribution - Class in elki.index.tree.metrical.mtreevariants.strategies.split.distribution

Balanced entry distribution strategy of the M-tree, beginning with the most difficult points first.

FarthestBalancedDistribution() - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.FarthestBalancedDistribution

FarthestPoints<O> - Class in elki.clustering.kmeans.initialization

K-Means initialization by repeatedly choosing the farthest point (by the minimum distance to earlier points).

FarthestPoints(RandomFactory, boolean) - Constructor for class elki.clustering.kmeans.initialization.FarthestPoints

Constructor.

FarthestPoints.Par<O> - Class in elki.clustering.kmeans.initialization

Parameterization class.

FarthestPointsSplit<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> - Class in elki.index.tree.metrical.mtreevariants.strategies.split

Farthest points split.

FarthestPointsSplit(DistributionStrategy) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.FarthestPointsSplit

Constructor.

FarthestSumPoints<O> - Class in elki.clustering.kmeans.initialization

K-Means initialization by repeatedly choosing the farthest point (by the sum of distances to previous objects).

FarthestSumPoints(RandomFactory, boolean) - Constructor for class elki.clustering.kmeans.initialization.FarthestSumPoints

Constructor.

FarthestSumPoints.Par<V> - Class in elki.clustering.kmeans.initialization

Parameterization class.

fastABOD(Relation<V>, DBIDs, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.anglebased.FastABOD

Full kernel-based version.

FastABOD<V extends NumberVector> - Class in elki.outlier.anglebased

Fast-ABOD (approximateABOF) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.

FastABOD(Similarity<? super V>, int) - Constructor for class elki.outlier.anglebased.FastABOD

Constructor for Angle-Based Outlier Detection (ABOD).

FastABOD.Par<V extends NumberVector> - Class in elki.outlier.anglebased

Parameterization class.

FastCLARA<V> - Class in elki.clustering.kmedoids

Clustering Large Applications (CLARA) with the FastPAM improvements, to increase scalability in the number of clusters.

FastCLARA(Distance<? super V>, int, int, KMedoidsInitialization<V>, double, int, double, boolean, RandomFactory) - Constructor for class elki.clustering.kmedoids.FastCLARA

Constructor.

FastCLARA.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

FastCLARANS<V> - Class in elki.clustering.kmedoids

A faster variation of CLARANS, that can explore O(k) as many swaps at a similar cost by considering all medoids for each candidate non-medoid.

FastCLARANS(Distance<? super V>, int, int, double, RandomFactory) - Constructor for class elki.clustering.kmedoids.FastCLARANS

Constructor.

FastCLARANS.Assignment - Class in elki.clustering.kmedoids

Assignment state.

FastCLARANS.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

FastDOC - Class in elki.clustering.subspace

The heuristic variant of the DOC algorithm, FastDOC

FastDOC(double, double, double, int, RandomFactory) - Constructor for class elki.clustering.subspace.FastDOC

Constructor.

FastDOC.Par - Class in elki.clustering.subspace

Parameterization class.

FasterCLARA<O> - Class in elki.clustering.kmedoids

Clustering Large Applications (CLARA) with the FastPAM improvements, to increase scalability in the number of clusters.

FasterCLARA(Distance<? super O>, int, int, KMedoidsInitialization<O>, int, double, boolean, RandomFactory) - Constructor for class elki.clustering.kmedoids.FasterCLARA

Constructor.

FasterCLARA.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

FasterMSC<O> - Class in elki.clustering.silhouette

Fast and Eager Medoid Silhouette Clustering.

FasterMSC(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.silhouette.FasterMSC

Constructor.

FasterMSC.Instance - Class in elki.clustering.silhouette

FasterMSC clustering instance for a particular data set.

FasterMSC.Instance2 - Class in elki.clustering.silhouette

FasterMSC clustering instance for k=2, simplified.

FasterMSC.Par<O> - Class in elki.clustering.silhouette

Parameterization class.

FasterPAM<O> - Class in elki.clustering.kmedoids

Variation of FastPAM that eagerly performs any swap that yields an improvement during an iteration.

FasterPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.FasterPAM

Constructor.

FasterPAM.Instance - Class in elki.clustering.kmedoids

Instance for a single dataset.

FasterPAM.Par<O> - Class in elki.clustering.kmedoids

Parameterization class.

fastModPrime(long) - Static method in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Fast modulo operation for the largest unsigned integer prime.

FastMSC<O> - Class in elki.clustering.silhouette

Fast Medoid Silhouette Clustering.

FastMSC(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.silhouette.FastMSC

Constructor.

FastMSC.Instance - Class in elki.clustering.silhouette

FastMSC clustering instance for a particular data set.

FastMSC.Instance2 - Class in elki.clustering.silhouette

Simplified FastMSC clustering instance for k=2.

FastMSC.Par<O> - Class in elki.clustering.silhouette

Parameterization class.

FastMSC.Record - Class in elki.clustering.silhouette

Data stored per point.

FastMultidimensionalScalingTransform<I,O extends NumberVector> - Class in elki.datasource.filter.transform

Rescale the data set using multidimensional scaling, MDS.

FastMultidimensionalScalingTransform(int, PrimitiveDistance<? super I>, NumberVector.Factory<O>, RandomFactory) - Constructor for class elki.datasource.filter.transform.FastMultidimensionalScalingTransform

Constructor.

FastMultidimensionalScalingTransform.Par<I,O extends NumberVector> - Class in elki.datasource.filter.transform

Parameterization class.

FastNonThreadsafeRandom - Class in elki.utilities.random

Drop-in replacement for Random, but not using atomic long seeds.

FastNonThreadsafeRandom() - Constructor for class elki.utilities.random.FastNonThreadsafeRandom

Constructor called only by localRandom.initialValue.

FastNonThreadsafeRandom(long) - Constructor for class elki.utilities.random.FastNonThreadsafeRandom

Constructor.

FastOPTICS<V extends NumberVector> - Class in elki.clustering.optics

FastOPTICS algorithm (Fast approximation of OPTICS)

FastOPTICS(int, RandomProjectedNeighborsAndDensities) - Constructor for class elki.clustering.optics.FastOPTICS

Constructor.

FastPAM<O> - Class in elki.clustering.kmedoids

FastPAM: An improved version of PAM, that is usually O(k) times faster.

FastPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.FastPAM

Constructor.

FastPAM(Distance<? super O>, int, int, KMedoidsInitialization<O>, double) - Constructor for class elki.clustering.kmedoids.FastPAM

Constructor.

FastPAM.Instance - Class in elki.clustering.kmedoids

Instance for a single dataset.

FastPAM.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

FastPAM1<O> - Class in elki.clustering.kmedoids

FastPAM1: A version of PAM that is O(k) times faster, i.e., now in O((n-k)²).

FastPAM1(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.FastPAM1

Constructor.

FastPAM1.Instance - Class in elki.clustering.kmedoids

Instance for a single dataset.

FastPAM1.Par<V> - Class in elki.clustering.kmedoids

Parameterization class.

fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection

fastProjectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection1D

Project a data vector from data space to rendering space.

fastProjectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from data space to rendering space.

fastProjectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.ProjectionParallel

Fast project a vector from data to render space

fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple1D

fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D

fastProjectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.SimpleParallel

fastProjectDataToRenderSpace(double, int) - Method in interface elki.visualization.projections.ProjectionParallel

Project the value of a single axis to its display value

fastProjectDataToRenderSpace(double, int) - Method in class elki.visualization.projections.SimpleParallel

fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.AffineProjection

fastProjectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection1D

Project a data vector from data space to rendering space.

fastProjectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from data space to rendering space.

fastProjectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.ProjectionParallel

Fast project a vector from data to render space

fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple1D

fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple2D

fastProjectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.SimpleParallel

fastProjectDataToScaledSpace(double[]) - Method in class elki.visualization.projections.AffineProjection

fastProjectDataToScaledSpace(double[]) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from data space to scaled space.

fastProjectDataToScaledSpace(double[]) - Method in class elki.visualization.projections.Simple2D

fastProjectDataToScaledSpace(NumberVector) - Method in class elki.visualization.projections.AffineProjection

fastProjectDataToScaledSpace(NumberVector) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from data space to scaled space.

fastProjectDataToScaledSpace(NumberVector) - Method in class elki.visualization.projections.Simple2D

fastProjectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection

fastProjectRelativeDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection1D

Project a data vector from data space to rendering space.

fastProjectRelativeDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from data space to rendering space.

fastProjectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple1D

fastProjectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D

fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.AffineProjection

fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection1D

Project a data vector from data space to rendering space.

fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from data space to rendering space.

fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple1D

fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.Simple2D

fastProjectRelativeScaledToRender(double[]) - Method in interface elki.visualization.projections.Projection1D

Project a vector from scaled space to rendering space.

fastProjectRelativeScaledToRender(double[]) - Method in class elki.visualization.projections.Simple1D

fastProjectRelativeScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection

fastProjectRelativeScaledToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D

Project a vector from scaled space to rendering space.

fastProjectRelativeScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D

fastProjectRenderToDataSpace(double, double) - Method in class elki.visualization.projections.AffineProjection

fastProjectRenderToDataSpace(double, double) - Method in interface elki.visualization.projections.Projection2D

Project a data vector from rendering space to data space.

fastProjectRenderToDataSpace(double, double) - Method in class elki.visualization.projections.Simple2D

fastProjectRenderToDataSpace(double, int) - Method in interface elki.visualization.projections.ProjectionParallel

Project a display value back to the original data space

fastProjectRenderToDataSpace(double, int) - Method in class elki.visualization.projections.SimpleParallel

fastProjectRenderToScaledSpace(double, double) - Method in class elki.visualization.projections.AffineProjection

fastProjectRenderToScaledSpace(double, double) - Method in interface elki.visualization.projections.Projection2D

Project a vector from rendering space to scaled space.

fastProjectRenderToScaledSpace(double, double) - Method in class elki.visualization.projections.Simple2D

fastProjectScaledToRender(double[]) - Method in interface elki.visualization.projections.Projection1D

Project a vector from scaled space to rendering space.

fastProjectScaledToRender(double[]) - Method in class elki.visualization.projections.Simple1D

fastProjectScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.AffineProjection

fastProjectScaledToRenderSpace(double[]) - Method in interface elki.visualization.projections.Projection2D

Project a vector from scaled space to rendering space.

fastProjectScaledToRenderSpace(double[]) - Method in class elki.visualization.projections.Simple2D

fastswap - Variable in class elki.clustering.kmedoids.FastPAM.Instance

Tolerance for fast swapping behavior (may perform worse swaps).

fasttol - Variable in class elki.clustering.kmedoids.FastPAM

Tolerance for fast swapping behavior (may perform worse swaps).

fasttol - Variable in class elki.clustering.kmedoids.FastPAM.Par

Tolerance for fast swapping behavior (may perform worse swaps).

FASTTOL_ID - Static variable in class elki.clustering.kmedoids.FastPAM.Par

Tolerance for performing additional swaps.

fastUpperBound(int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures

fastUpperBound function calculates an upper Bound as k*maxDist(pf[i], smallest neighborhood)

FASTUTIL_HASH_STRATEGY - Static variable in class elki.utilities.datastructures.BitsUtil

Hashing strategy to use with Fastutils.

FastutilIntOpenHashSetModifiableDBIDs - Class in elki.database.ids.integer

Implementation using Fastutil IntSet.

FastutilIntOpenHashSetModifiableDBIDs() - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs

Constructor.

FastutilIntOpenHashSetModifiableDBIDs(int) - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs

Constructor.

FastutilIntOpenHashSetModifiableDBIDs(DBIDs) - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs

Constructor.

FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet - Class in elki.database.ids.integer

Customized table.

FastutilIntOpenHashSetModifiableDBIDs.Itr - Class in elki.database.ids.integer

Iterator over Fastutil hashs.

FDBSCAN - Class in elki.clustering.uncertain

FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.

FDBSCAN(double, int, double, RandomFactory, int) - Constructor for class elki.clustering.uncertain.FDBSCAN

Constructor that initialized GeneralizedDBSCAN.

FDBSCAN.Par - Class in elki.clustering.uncertain

Parameterizer class.

FDBSCANNeighborPredicate - Class in elki.clustering.uncertain

Density-based Clustering of Applications with Noise and Fuzzy objects (FDBSCAN) is an Algorithm to find sets in a fuzzy database that are density-connected with minimum probability.

FDBSCANNeighborPredicate(double, int, double, RandomFactory) - Constructor for class elki.clustering.uncertain.FDBSCANNeighborPredicate

Constructor.

FDBSCANNeighborPredicate.Instance - Class in elki.clustering.uncertain

Instance of the neighbor predicate.

FDBSCANNeighborPredicate.Par - Class in elki.clustering.uncertain

Parameterizer class.

FEATURE_VECTORS - Static variable in class elki.data.type.TypeUtil

Any feature vector type.

FeatureBagging - Class in elki.outlier.meta

A simple ensemble method called "Feature bagging" for outlier detection.

FeatureBagging(int, int, boolean, RandomFactory) - Constructor for class elki.outlier.meta.FeatureBagging

Constructor.

FeatureBagging.Par - Class in elki.outlier.meta

Parameterization class.

FEATURES_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par

Cluster features parameter.

FeatureSelection<V extends FeatureVector<F>,F> - Class in elki.data.projection

Projection class for number vectors.

FeatureSelection(int[]) - Constructor for class elki.data.projection.FeatureSelection

Constructor.

FeatureSelection.Par<V extends FeatureVector<F>,F> - Class in elki.data.projection

Parameterization class.

FeatureSelection.ProjectedFeatureVectorAdapter - Class in elki.data.projection

Generic projection function

FeatureSelection.ProjectedNumberFeatureVectorAdapter - Class in elki.data.projection

Adapter for generating number vectors without reboxing.

FeatureVector<D> - Interface in elki.data

Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).

FeatureVector.Factory<V extends FeatureVector<? extends D>,D> - Interface in elki.data

Factory API for this feature vector.

featureVectorAdapter(FeatureVector<F>) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil

Get the static instance.

FeatureVectorAdapter<F> - Class in elki.utilities.datastructures.arraylike

Adapter to use a feature vector as an array of features.

FeatureVectorAdapter() - Constructor for class elki.utilities.datastructures.arraylike.FeatureVectorAdapter

Constructor.

FEATUREVECTORADAPTER - Static variable in class elki.utilities.datastructures.arraylike.ArrayLikeUtil

Static instance.

FIELD - Static variable in interface elki.data.NumberVector

Input type for algorithms that require number vector fields.

FIELD - Static variable in interface elki.data.SparseNumberVector

Input data type: Sparse vector field.

FIELD_1D - Static variable in interface elki.data.NumberVector

Type request for two-dimensional number vectors

FIELD_2D - Static variable in interface elki.data.NumberVector

Type request for two-dimensional number vectors

FieldTypeInformation - Interface in elki.data.type

Types with a fixed dimensionality (e.g., vector fields, but also e.g., polygon types).

file - Variable in class elki.application.experiments.ORLibBenchmark

Input file.

file - Variable in class elki.application.experiments.ORLibBenchmark.Par

Input file.

file - Variable in class elki.clustering.meta.ExternalClustering

The file to be reparsed.

file - Variable in class elki.clustering.meta.ExternalClustering.Par

The file to be reparsed

file - Variable in class elki.gui.util.SavedSettingsFile

File to read and write

file - Variable in class elki.index.tree.IndexTree

The file storing the entries of this index.

file - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore

The file to be reparsed

file - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par

The file to be reparsed

file - Variable in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory

The input file.

file - Variable in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par

The input file.

file - Variable in class elki.persistent.LRUCache

The underlying file of this cache.

file - Variable in class elki.persistent.MemoryPageFile

Holds the pages.

file - Variable in class elki.persistent.OnDiskArray

Random Access File object.

file - Variable in class elki.persistent.OnDiskArrayPageFile

The file storing the pages.

file - Variable in class elki.persistent.PersistentPageFile

The file storing the pages.

FILE_EXTENSION - Static variable in class elki.result.textwriter.TextWriter

Extension for txt-files.

FILE_ID - Static variable in class elki.application.experiments.ORLibBenchmark.Par

Parameter that specifies the name of the directory to be re-parsed.

FILE_ID - Static variable in class elki.clustering.meta.ExternalClustering.Par

Parameter that specifies the name of the file to be re-parsed.

FILE_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par

Parameter that specifies the name of the file to be re-parsed.

FILE_VERSION - Static variable in class elki.persistent.DefaultPageHeader

Version number of this header (magic number).

FileBasedDatabaseConnection - Class in elki.datasource

File based database connection based on the parser to be set.

FileBasedDatabaseConnection(List<? extends ObjectFilter>, Parser, InputStream) - Constructor for class elki.datasource.FileBasedDatabaseConnection

Constructor.

FileBasedDatabaseConnection(List<? extends ObjectFilter>, Parser, String) - Constructor for class elki.datasource.FileBasedDatabaseConnection

Constructor.

FileBasedDatabaseConnection(List<? extends ObjectFilter>, Parser, URI) - Constructor for class elki.datasource.FileBasedDatabaseConnection

Constructor.

FileBasedDatabaseConnection.Par - Class in elki.datasource

Parameterization class.

FileBasedSparseDoubleDistance - Class in elki.distance.external

Distance function that is based on double distances given by a distance matrix of an external ASCII file.

FileBasedSparseDoubleDistance(DistanceParser, URI, double) - Constructor for class elki.distance.external.FileBasedSparseDoubleDistance

Constructor.

FileBasedSparseDoubleDistance.Par - Class in elki.distance.external

Parameterization class.

FileBasedSparseFloatDistance - Class in elki.distance.external

Distance function that is based on float distances given by a distance matrix of an external ASCII file.

FileBasedSparseFloatDistance(DistanceParser, URI, float) - Constructor for class elki.distance.external.FileBasedSparseFloatDistance

Constructor.

FileBasedSparseFloatDistance.Par - Class in elki.distance.external

Parameterization class.

FileListParameter - Class in elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a list of files.

FileListParameter(OptionID, FileListParameter.FilesType) - Constructor for class elki.utilities.optionhandling.parameters.FileListParameter

Constructs a file list parameter with the given optionID, and file type.

FileListParameter.FilesType - Enum in elki.utilities.optionhandling.parameters

Available types of the files: FileListParameter.FilesType.INPUT_FILES denotes input files, FileListParameter.FilesType.OUTPUT_FILES denotes output files.

filemenu - Variable in class elki.visualization.gui.ResultWindow.DynamicMenu

File menu.

filename - Variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory

Filename to load.

filename - Variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Par

Filename to load.

filename - Variable in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor

File to load.

filename - Variable in class elki.persistent.OnDiskArray

File name.

filename - Variable in class elki.persistent.OnDiskArrayPageFile

The file name to use

filename - Variable in class elki.result.KMLOutputHandler

Output file name

filename - Variable in class elki.result.KMLOutputHandler.Par

Output file name

fileName - Variable in class elki.persistent.OnDiskArrayPageFileFactory

File name.

fileName - Variable in class elki.persistent.PersistentPageFileFactory

File name.

FILENAME_PREFIX - Static variable in class elki.utilities.ELKIServiceLoader

File name prefix for the ELKI functionality discovery.

fileNameEditor - Variable in class elki.gui.util.ParameterTable.AdjustingEditor

The file selector editor

FileNameEditor() - Constructor for class elki.gui.util.ParameterTable.FileNameEditor

Constructor.

filenameFromLabel(String) - Method in class elki.result.textwriter.TextWriter

Derive a file name from the cluster label.

filenames - Variable in class elki.result.textwriter.TextWriter

For producing unique filenames.

FileOrderBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk

Trivial bulk loading - assumes that the file has been appropriately sorted before.

FileOrderBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit

Constructor.

FileOrderBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk

Parameterization class.

FileParameter - Class in elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a file.

FileParameter(OptionID, FileParameter.FileType) - Constructor for class elki.utilities.optionhandling.parameters.FileParameter

Constructs a file parameter with the given optionID, and file type.

FileParameter.FileType - Enum in elki.utilities.optionhandling.parameters

Available file types: FileParameter.FileType.INPUT_FILE denotes an input file, FileParameter.FileType.OUTPUT_FILE denotes an output file.

FileParameterConfigurator - Class in elki.gui.configurator

Provide a configuration panel to choose a file with a file selector button.

FileParameterConfigurator(FileParameter, JComponent) - Constructor for class elki.gui.configurator.FileParameterConfigurator

Constructor.

files - Variable in class elki.datasource.ConcatenateFilesDatabaseConnection

Input file list.

files - Variable in class elki.datasource.ConcatenateFilesDatabaseConnection.Par

The input files.

files - Variable in class elki.utilities.ELKIServiceScanner.DirClassIterator

filesType - Variable in class elki.utilities.optionhandling.parameters.FileListParameter

Specifies the type of the files, i.e. if the files are input or output files.

FilesType() - Constructor for enum elki.utilities.optionhandling.parameters.FileListParameter.FilesType

fileType - Variable in class elki.utilities.optionhandling.parameters.FileParameter

The file type of this file parameter.

FileType() - Constructor for enum elki.utilities.optionhandling.parameters.FileParameter.FileType

FileUtil - Class in elki.utilities.io

Various static helper methods to deal with files and file names.

FileUtil() - Constructor for class elki.utilities.io.FileUtil

Fake Constructor.

fill - Variable in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Par

fill - Variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par

fill - Variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Par

fill - Variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par

Fill parameter.

FILL - Static variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance

String constant.

FILL_ID - Static variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par

Flag for half-transparent filling of bubbles.

FILL_ID - Static variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par

Flag for half-transparent filling of bubbles.

fillAndSort(int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

Fill the array with the dimension projection needed for sorting.

fillDensities(KNNSearcher<DBIDRef>, DBIDs, WritableDoubleDataStore) - Method in class elki.clustering.dbscan.LSDBC

Collect all densities into an array for sorting.

FILLED_PAGE - Static variable in class elki.persistent.OnDiskArrayPageFile

Indicates a filled page.

FILLED_PAGE - Static variable in class elki.persistent.PersistentPageFile

Indicates a filled page.

fillInStackTrace() - Method in exception elki.utilities.io.ParseUtil.PreallocatedException

filter - Variable in class elki.algorithm.DependencyDerivator

Filter to select eigenvectors.

filter - Variable in class elki.algorithm.DependencyDerivator.Par

Filter to select eigenvectors.

filter - Variable in class elki.clustering.correlation.COPAC.Settings

Eigenpair filter.

filter - Variable in class elki.clustering.correlation.ERiC.Settings

Filter for Eigenvectors.

filter - Variable in class elki.clustering.correlation.HiCO

Filter for selecting eigenvectors

filter - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate

Filter for selecting eigenvectors.

filter - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

Filter to use for dimensionality reduction.

filter - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par

Filter to use for dimensionality reduction.

filter - Variable in class elki.math.linearalgebra.pca.AutotuningPCA

Filter to select eigenvectors.

filter - Variable in class elki.math.linearalgebra.pca.AutotuningPCA.Par

Filter to select eigenvectors.

filter - Variable in class elki.outlier.SimpleCOP.Par

Filter for selecting eigenvectors.

filter - Variable in class elki.result.ResultWriter

Result filter pattern.

filter - Variable in class elki.result.ResultWriter.Par

Result filter pattern.

filter - Variable in class elki.utilities.datastructures.iterator.FilteredIt

Class filter.

filter - Variable in class elki.utilities.datastructures.iterator.SubtypeIt

Class filter.

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.DropEigenPairFilter

filter(double[]) - Method in interface elki.math.linearalgebra.pca.filter.EigenPairFilter

Filters the specified eigenvalues into strong and weak eigenvalues, where strong eigenvalues have high variance and weak eigenvalues have small variance.

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter

filter(double[]) - Method in class elki.math.linearalgebra.pca.filter.WeakEigenPairFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.AbstractConversionFilter

A standard implementation of the filter process.

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.AbstractStreamFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.cleaning.DropNaNFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.cleaning.NoMissingValuesFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.FixedDBIDsFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.NoOpFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization

filter(MultipleObjectsBundle) - Method in interface elki.datasource.filter.ObjectFilter

Filter a set of object packages.

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.selection.ShuffleObjectsFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.selection.SortByLabelFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.ClassLabelFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.ExternalIDFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter

filter(MultipleObjectsBundle) - Method in class elki.datasource.filter.typeconversions.UncertainifyFilter

filter(Class<? super T>) - Method in class elki.utilities.datastructures.iterator.EmptyIterator

filter(Class<? super T>) - Method in interface elki.utilities.datastructures.iterator.It

Filtered iteration.

filter(Predicate<? super O>) - Method in class elki.utilities.datastructures.iterator.EmptyIterator

filter(Predicate<? super O>) - Method in interface elki.utilities.datastructures.iterator.It

Filtered iteration.

FILTER_ID - Static variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par

To specify the eigenvectors to keep.

FILTER_ID - Static variable in class elki.math.statistics.intrinsicdimensionality.LPCAEstimator.Par

Option for the EigenPairFilter to use on eigenvalues.

FILTER_PATTERN_ID - Static variable in class elki.result.ResultWriter.Par

Pattern to filter the output

filter1(int, int, List<DAFile>, VectorApproximation, int, VALPNormDistance) - Method in class elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery

FilteredConvexHull2D - Class in elki.math.geometry

Accelerate computing the convex hull with a simple filter.

FilteredConvexHull2D() - Constructor for class elki.math.geometry.FilteredConvexHull2D

Constructor.

FilteredDistanceResultAdapter - Class in elki.evaluation.scores.adapter

This adapter is used to process a list of (double, DBID) objects, but allows skipping one object in the ranking.

FilteredDistanceResultAdapter(DBIDs, DoubleDBIDListIter, int, DBIDRef) - Constructor for class elki.evaluation.scores.adapter.FilteredDistanceResultAdapter

Constructor.

FilteredIt<O> - Class in elki.utilities.datastructures.iterator

Filtered iterator.

FilteredIt(It<O>, Predicate<? super O>) - Constructor for class elki.utilities.datastructures.iterator.FilteredIt

Constructor.

filterField - Variable in class elki.visualization.gui.ResultWindow.TextWriterPanel

Filter text field.

filterResults(Object, Class<? super C>) - Static method in class elki.result.ResultUtil

Return only results of the given restriction class

filters - Variable in class elki.datasource.AbstractDatabaseConnection

The filters to invoke

filters - Variable in class elki.datasource.AbstractDatabaseConnection.Par

Filters

FILTERS_ID - Static variable in class elki.datasource.AbstractDatabaseConnection.Par

Filters to apply to the input data.

filterSingleObject(NumberVector) - Method in class elki.datasource.filter.typeconversions.UncertainSplitFilter

filterSingleObject(NumberVector) - Method in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter

filterSingleObject(I) - Method in class elki.datasource.filter.AbstractConversionFilter

Normalize a single instance.

filterSingleObject(I) - Method in class elki.datasource.filter.AbstractStreamConversionFilter

Normalize a single instance.

filterSingleObject(I) - Method in class elki.datasource.filter.transform.ProjectionFilter

filterSingleObject(O) - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.InstanceRankNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.LengthNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization

filterSingleObject(V) - Method in class elki.datasource.filter.transform.HistogramJitterFilter

filterSingleObject(V) - Method in class elki.datasource.filter.transform.LatLngToECEFFilter

filterSingleObject(V) - Method in class elki.datasource.filter.transform.LngLatToECEFFilter

filterSingleObject(V) - Method in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter

filterSingleObject(V) - Method in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter

filterSingleObject(V) - Method in class elki.datasource.filter.transform.PerturbationFilter

filterSingleObject(V) - Method in class elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter

filterSingleObject(V) - Method in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter

FilterUtil - Class in elki.datasource.filter

Utilities for implementing filters.

FilterUtil() - Constructor for class elki.datasource.filter.FilterUtil

Fake constructor: do not instantiate.

finalAssignment(List<Pair<double[], long[]>>, Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.PROCLUS

Refinement step to assign the objects to the final clusters.

finalizeCluster() - Method in class elki.clustering.em.models.DiagonalGaussianModel

finalizeCluster() - Method in interface elki.clustering.em.models.EMClusterModel

Finalize a cluster model.

finalizeCluster() - Method in class elki.clustering.em.models.MultivariateGaussianModel

finalizeCluster() - Method in class elki.clustering.em.models.SphericalGaussianModel

finalizeCluster() - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel

finalizeCluster() - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel

finalizeCluster() - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

finalizeCluster(HDBSCANHierarchyExtraction.TempCluster, Clustering<DendrogramModel>, WritableDoubleDataStore, Cluster<DendrogramModel>, boolean) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance

Make the cluster for the given object

finalizeEStep(double, double) - Method in class elki.clustering.em.models.DiagonalGaussianModel

finalizeEStep(double, double) - Method in interface elki.clustering.em.models.EMClusterModel

Finalize the E step.

finalizeEStep(double, double) - Method in class elki.clustering.em.models.MultivariateGaussianModel

finalizeEStep(double, double) - Method in class elki.clustering.em.models.SphericalGaussianModel

finalizeEStep(double, double) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel

finalizeEStep(double, double) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel

finalizeEStep(double, double) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

finalizeFirstPassE() - Method in interface elki.clustering.em.models.EMClusterModel

Finalize the first pass of the E step.

finalizeFirstPassE() - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

Finish computation of the mean.

finalMomentum - Variable in class elki.projection.SNE

Final momentum.

finalMomentum - Variable in class elki.projection.TSNE

Final momentum.

find(double) - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList

Find the last position with a smaller or equal key.

find(int) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger

Find the parent of an object.

find(DBIDRef) - Method in interface elki.utilities.datastructures.unionfind.UnionFind

Find the component ID of an element.

find(DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs

find(DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs

find(Object) - Method in interface elki.utilities.datastructures.iterator.It

Find a given object in the iterator; consumes the iterator.

findAllImplementations(Class<?>) - Static method in class elki.utilities.ELKIServiceRegistry

Find all implementations of a particular interface.

findAllImplementations(Class<?>, boolean) - Static method in class elki.utilities.ELKIServiceRegistry

Find all implementations of a given class in the classpath.

findAndEvaluateThreshold(DoubleDynamicHistogram) - Method in class elki.clustering.correlation.LMCLUS

Evaluate the histogram to find a suitable threshold

findBasis(Relation<? extends NumberVector>, ORCLUS.ORCLUSCluster, int) - Method in class elki.clustering.correlation.ORCLUS

Finds the basis of the subspace of dimensionality dim for the specified cluster.

findBest(double[], double[], int[], int) - Static method in class elki.clustering.hierarchical.Anderberg.Instance

Find the best in a row of the triangular matrix.

findBest(ArrayModifiableDBIDs, DBIDArrayMIter, DBIDVar) - Method in class elki.clustering.optics.OPTICSList.Instance

Find the minimum in the candidates array.

findBestFit(List<V>, AttributeWiseCDFNormalization.Adapter, int, double[]) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

Find the best fitting distribution.

findBestSwap(DBIDRef, double[]) - Method in class elki.clustering.silhouette.FastMSC.Instance

Compute the loss change when choosing j as new medoid.

findBestSwap(DBIDRef, double[]) - Method in class elki.clustering.silhouette.FastMSC.Instance2

Compute the loss change when choosing j as new medoid.

findBestSwaps(DBIDArrayIter, ArrayModifiableDBIDs, double[], double[], double[]) - Method in class elki.clustering.kmedoids.FastPAM.Instance

Find the best swaps.

findClassLabelColumn(MultipleObjectsBundle) - Static method in class elki.evaluation.classification.holdout.AbstractHoldout

Find the class label column in the given data set.

findClosestNode(NumberVector, int) - Method in class elki.outlier.lof.ALOCI.ALOCIQuadTree

Find the closest node (of depth tlevel or above, if there is no node at this depth) for the given vector.

findDatabase(Object) - Static method in class elki.result.ResultUtil

Find the first database result in the tree.

findDenseSubspaceCandidates(Relation<? extends NumberVector>, List<CLIQUESubspace>) - Method in class elki.clustering.subspace.CLIQUE

Determines the k-dimensional dense subspace candidates from the specified (k-1)-dimensional dense subspaces.

findDenseSubspaces(Relation<? extends NumberVector>, List<CLIQUESubspace>) - Method in class elki.clustering.subspace.CLIQUE

Determines the k-dimensional dense subspaces and performs a pruning if this option is chosen.

findDepth(Clustering<M>) - Static method in class elki.visualization.visualizers.visunproj.KeyVisualization

Compute the size of the clustering.

findDepth(Hierarchy<Cluster<M>>, Cluster<M>, int[]) - Static method in class elki.visualization.visualizers.visunproj.KeyVisualization

Recursive depth computation.

findDimensions(ArrayDBIDs, Relation<? extends NumberVector>, DistanceQuery<? extends NumberVector>, RangeSearcher<DBIDRef>) - Method in class elki.clustering.subspace.PROCLUS

Determines the set of correlated dimensions for each medoid in the specified medoid set.

findDimensions(ArrayList<PROCLUS.PROCLUSCluster>, Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.PROCLUS

Refinement step that determines the set of correlated dimensions for each cluster centroid.

findEigenVectors(double[][], double[][], double[]) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform

Find the first eigenvectors and eigenvalues using power iterations.

findImplementation(Class<? super C>, String) - Static method in class elki.utilities.ELKIServiceRegistry

Find an implementation of the given interface / super class, given a relative class name or alias name.

findInRef(DBIDRef, DBIDArrayIter) - Method in class elki.index.laesa.LAESA.LAESAKNNSearcher

Find the given DBIDVar p in the reference iter

findLabelColumn(BundleMeta) - Static method in class elki.datasource.filter.FilterUtil

Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a type information.

findLabelColumn(MultipleObjectsBundle) - Static method in class elki.datasource.filter.FilterUtil

Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a bundle.

findLeaf(CFTree.TreeNode, NumberVector) - Method in class elki.clustering.hierarchical.birch.CFTree

Find the leaf of a cluster, to get the final cluster assignment.

findLeaf(NumberVector) - Method in class elki.clustering.hierarchical.birch.CFTree

Find the leaf of a cluster, to get the final cluster assignment.

findLeaf(NumberVector) - Method in class elki.index.tree.betula.CFTree

Find the leaf of a cluster, to get the final cluster assignment.

findLeaf(CFNode<L>, NumberVector) - Method in class elki.index.tree.betula.CFTree

Find the leaf of a cluster, to get the final cluster assignment.

findLimitedDimensionWithDerivative(double[][], double[], double[], double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Find the first dimension where the partial derivative wrt. that dimension is nonnegative or nonpositive.

findMatches(ModifiableDBIDs, Relation<?>, Object) - Method in class elki.algorithm.statistics.EvaluateRetrievalPerformance

Find all matching objects.

findMax(DistanceQuery<?>, DBIDIter, DBIDs, double, double) - Static method in class elki.clustering.hierarchical.MiniMax.Instance

Find the maximum distance of one object to a set.

findMaximumWithFunctionValue(double[][], double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver

Finds the argmax for \( \tfrac12 A x^2 + b x \).

findMedoid(DBIDs, DistanceQuery<?>, int, DBIDArrayMIter, double, WritableDoubleDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Static method in class elki.clustering.kmedoids.initialization.GreedyG

Find the best medoid of a given fixed set.

findMedoid(DBIDs, DistanceQuery<?>, IntegerDataStore, int, DBIDArrayMIter, double[]) - Static method in class elki.clustering.kmedoids.initialization.AlternateRefinement

Find the best medoid of a given fixed set.

findMedoid(DistanceQuery<?>, DBIDs, DBIDArrayMIter) - Static method in class elki.clustering.hierarchical.MedoidLinkage.Instance

Find the prototypes.

findMerge() - Method in class elki.clustering.hierarchical.AGNES.Instance

Perform the next merge step in AGNES.

findMerge() - Method in class elki.clustering.hierarchical.Anderberg.Instance

Perform the next merge step.

findMerge() - Method in class elki.clustering.hierarchical.HACAM.Instance

findMerge() - Method in class elki.clustering.hierarchical.MedoidLinkage.Instance

findMerge() - Method in class elki.clustering.hierarchical.MiniMax.Instance

findMerge() - Method in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance

findNeighbors(DBIDRef, long[], ArrayModifiableDBIDs, Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.DOC

Find the neighbors of point q in the given subspace

findNewResults(VisualizerContext, Object) - Static method in class elki.visualization.VisualizationTree

Iterate over the primary result tree.

findNewResultVis(VisualizerContext, Object, Class<? super A>, Class<? super B>, BiConsumer<A, B>) - Static method in class elki.visualization.VisualizationTree

Process new result combinations of an object type1 (in first hierarchy) having a child of type2 (in second hierarchy).

findNewSiblings(VisualizerContext, Object, Class<? super A>, Class<? super B>, BiConsumer<A, B>) - Static method in class elki.visualization.VisualizationTree

Process new result combinations of an object type1 (in first hierarchy) and any child of type2 (in second hierarchy) This is a bit painful, because we have two hierarchies with different types: results, and visualizations.

findNext() - Method in class elki.utilities.ELKIServiceScanner.DirClassIterator

Find the next entry, since we need to skip some directories.

findOneDimensionalDenseSubspaceCandidates(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.CLIQUE

Determines the one-dimensional dense subspace candidates by making a pass over the database.

findOneDimensionalDenseSubspaces(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.CLIQUE

Determines the one dimensional dense subspaces and performs a pruning if this option is chosen.

findOptimalRoot(int[]) - Static method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC

Find the "optimal" root of a spanning tree.

findOrCreate(Object, String) - Static method in class elki.result.EvaluationResult

Find or create an evaluation result.

findOrCreateGroup(String) - Method in class elki.result.EvaluationResult

Find or add a new measurement group.

findOrientation(SweepHullDelaunay2D.Triangle) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle

Find the orientation of the triangles to each other.

findOutliers(Relation<? extends NumberVector>, List<MultivariateGaussianModel>, ArrayList<P3C.ClusterCandidate>, ModifiableDBIDs) - Method in class elki.clustering.subspace.P3C

Performs outlier detection by testing the Mahalanobis distance of each point in a cluster against the critical value of the ChiSquared distribution with as many degrees of freedom as the cluster has relevant attributes.

findParent(Relation<? extends NumberVector>, Pair<long[], ArrayModifiableDBIDs>, Object2ObjectMap<long[], List<ArrayModifiableDBIDs>>) - Method in class elki.clustering.subspace.DiSH

Returns the parent of the specified cluster

findPathToObject(IndexTreePath<E>, SpatialComparable, DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Returns the path to the leaf entry in the specified subtree that represents the data object with the specified mbr and id.

findPrototype(DistanceQuery<?>, DBIDs, DBIDs, DBIDVar, double) - Static method in class elki.clustering.hierarchical.HACAM.Instance

Find the prototypes.

findPrototype(DistanceQuery<?>, DBIDs, DBIDs, DBIDVar, double) - Static method in class elki.clustering.hierarchical.MiniMax.Instance

Find the prototypes.

findPrototypeSingleton(DistanceQuery<?>, DBIDs, DBIDRef, DBIDVar) - Static method in class elki.clustering.hierarchical.HACAM.Instance

Find the prototypes.

findPrototypeSingleton(DistanceQuery<?>, DBIDs, DBIDRef, DBIDVar) - Static method in class elki.clustering.hierarchical.MiniMax.Instance

Find the prototypes.

findSeparation(Relation<? extends NumberVector>, DBIDs, int, Random) - Method in class elki.clustering.correlation.LMCLUS

This method samples a number of linear manifolds an tries to determine which the one with the best cluster is.

findSmallest(int, int, double[], int[], int) - Method in class elki.math.geometry.SweepHullDelaunay2D

findSNNNeighbors(SimilarityQuery<O>, DBIDRef) - Method in class elki.clustering.SNNClustering

Returns the shared nearest neighbors of the specified query object in the given database.

findSplit() - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance

Find the splitting point in the merge history.

findSplit() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Instance

findSplit() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Instance

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.BoundedMidpointSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.LeastOneDimSSQSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.LeastSSQSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MeanVarianceSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MedianSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MedianVarianceSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class elki.index.tree.spatial.kd.split.MidpointSplit

findSplit(Relation<? extends NumberVector>, int, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in interface elki.index.tree.spatial.kd.split.SplitStrategy

Build the k-d-tree using midpoint splitting.

findSplitpoint(String, int) - Static method in class elki.utilities.io.FormatUtil

Find the first space before position w or if there is none after w.

findStartingPoint() - Method in class elki.math.geometry.GrahamScanConvexHull2D

Find the starting point, and sort it to the beginning of the list.

findUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkres

Find the minimum in the uncovered rows.

findUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkresStern

findUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkresWong

Find the minimum in the uncovered rows.

findUnlinked(int, int, int[]) - Static method in class elki.clustering.hierarchical.NNChain.Instance

Find an unlinked object.

findVantagePoints(DBIDs, int) - Method in class elki.index.tree.metrical.vptree.GNAT

Finds a vantage points in the DBIDs between left and right

findVis(VisualizerContext) - Static method in class elki.visualization.VisualizationTree

Filtered iteration over a stacked hierarchy.

findVis(VisualizerContext, Object) - Static method in class elki.visualization.VisualizationTree

Filtered iteration over a stacked hierarchy.

fine(CharSequence) - Method in class elki.logging.Logging

Log a message at the 'fine' debugging level.

fine(CharSequence, Throwable) - Method in class elki.logging.Logging

Log a message at the 'fine' debugging level.

finer(CharSequence) - Method in class elki.logging.Logging

Log a message at the 'finer' debugging level.

finer(CharSequence, Throwable) - Method in class elki.logging.Logging

Log a message at the 'finer' debugging level.

finest(CharSequence) - Method in class elki.logging.Logging

Log a message at the 'finest' debugging level.

finest(CharSequence, Throwable) - Method in class elki.logging.Logging

Log a message at the 'finest' debugging level.

finishGridRow() - Method in class elki.gui.configurator.AbstractParameterConfigurator

Complete the current grid row, adding the icon at the end

FiniteProgress - Class in elki.logging.progress

A progress object for a given overall number of items to process.

FiniteProgress(String, int) - Constructor for class elki.logging.progress.FiniteProgress

Constructor.

FiniteProgress(String, int, Logging) - Constructor for class elki.logging.progress.FiniteProgress

Constructor with auto-reporting to logging.

fireActionPerformed(ActionEvent) - Method in class elki.gui.util.TreePopup

Notify action listeners.

fireCameraChangedEvent() - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera

Fire the camera changed event.

fireKNNsInserted(DBIDs, DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor

Informs all registered KNNListener that new kNNs have been inserted and as a result some kNNs have been changed.

fireKNNsRemoved(DBIDs, DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor

Informs all registered KNNListener that existing kNNs have been removed and as a result some kNNs have been changed.

fireObjectChanged(DBIDRef, DatabaseEventManager.Type) - Method in class elki.database.DatabaseEventManager

Handles a DataStoreEvent with the specified type.

fireObjectInserted(DBIDRef) - Method in class elki.database.DatabaseEventManager

Event when a new object was inserted.

fireObjectRemoved(DBIDRef) - Method in class elki.database.DatabaseEventManager

Event when an objects was removed / deleted.

fireObjectsChanged(DBIDs, DatabaseEventManager.Type) - Method in class elki.database.DatabaseEventManager

Handles a DataStoreEvent with the specified type.

fireObjectsInserted(DBIDs) - Method in class elki.database.DatabaseEventManager

Event when new objects are inserted.

fireObjectsRemoved(DBIDs) - Method in class elki.database.DatabaseEventManager

Event when objects were removed / deleted.

fireObjectsUpdated(DBIDRef) - Method in class elki.database.DatabaseEventManager

Event when an object was changed / updated.

fireObjectsUpdated(DBIDs) - Method in class elki.database.DatabaseEventManager

Event when objects have changed / were updated.

firePanelUpdated() - Method in class elki.gui.multistep.panels.ParameterTabPanel

fireResultAdded(Object, Object) - Method in class elki.database.DatabaseEventManager

Informs all registered ResultListener that a new result was added.

fireResultRemoved(Object, Object) - Method in class elki.database.DatabaseEventManager

Informs all registered ResultListener that a new result has been removed.

fireSwitchEvent(ChangeEvent) - Method in class elki.visualization.svg.SVGCheckbox

Fire the event to listeners

fireValueChanged() - Method in class elki.gui.configurator.AbstractParameterConfigurator

Notify listeners of a changed value.

fireValueChanged() - Method in class elki.gui.configurator.ConfiguratorPanel

first - Variable in class elki.clustering.subspace.PROCLUS.DoubleIntInt

first - Variable in class elki.database.ids.integer.IntegerDBIDPair

First value in pair

first - Variable in class elki.database.ids.integer.IntegerDBIDPair.Itr

State

first - Variable in class elki.utilities.pairs.DoubleDoublePair

first value

first - Variable in class elki.utilities.pairs.DoubleIntPair

first value

first - Variable in class elki.utilities.pairs.DoubleObjPair

Double value

first - Variable in class elki.utilities.pairs.IntDoublePair

first value

first - Variable in class elki.utilities.pairs.IntIntPair

first value

first - Variable in class elki.utilities.pairs.Pair

First value in pair

FIRST_PRIMES - Static variable in class elki.math.Primes

The first 1000 prime numbers

FIRST_UNIFORM_ID - Static variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par

Choose the first center based on variance contribution.

FIRST_UNIFORM_ID - Static variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par

Choose the first center based on variance contribution.

firstAssignments - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments

The assignments to the first routing object.

firstEventReceived - Variable in class elki.outlier.lof.OnlineLOF.LOFKNNListener

Holds the first event of one of the both preprocessors.

FirstK<O> - Class in elki.clustering.kmeans.initialization

Initialize K-means by using the first k objects as initial means.

FirstK() - Constructor for class elki.clustering.kmeans.initialization.FirstK

Constructor.

FirstK.Par<V extends NumberVector> - Class in elki.clustering.kmeans.initialization

Parameterization class.

FirstNEigenPairFilter - Class in elki.math.linearalgebra.pca.filter

The FirstNEigenPairFilter marks the n highest eigenpairs as strong eigenpairs, where n is a user specified number.

FirstNEigenPairFilter(int) - Constructor for class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter

Constructor.

FirstNEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter

Parameterization class.

FirstNStreamFilter - Class in elki.datasource.filter.selection

Keep only the first N elements of the data source.

FirstNStreamFilter(int) - Constructor for class elki.datasource.filter.selection.FirstNStreamFilter

Constructor.

FirstNStreamFilter.Par - Class in elki.datasource.filter.selection

Parameterization class

firstPassE(NumberVector, double) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

First pass: update the mean only.

firstPassE(O, double) - Method in interface elki.clustering.em.models.EMClusterModel

First run in the E step.

firstRow(double[], int, NumberVector, NumberVector, int) - Method in class elki.distance.timeseries.DerivativeDTWDistance

firstRow(double[], int, NumberVector, NumberVector, int) - Method in class elki.distance.timeseries.DTWDistance

Fill the first row.

firstRow(double[], int, NumberVector, NumberVector, int) - Method in class elki.distance.timeseries.ERPDistance

firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves

Choose the first center uniformly from the leaves.

firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par

Choose the first center based on variance contribution.

firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree

Choose the first center uniformly from the cluster features.

firstUniform - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par

Choose the first center uniformly from the cluster feature.

FisherRaoDistance - Class in elki.distance.probabilistic

Fisher-Rao riemannian metric for (discrete) probability distributions.

FisherRaoDistance() - Constructor for class elki.distance.probabilistic.FisherRaoDistance

Deprecated.

FisherRaoDistance.Par - Class in elki.distance.probabilistic

Parameterization class.

fitness - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Individuum

FittingFunction - Interface in elki.math.linearalgebra.fitting

Interface for a function used in Levenberg-Marquard-Fitting

FittingFunctionResult - Class in elki.math.linearalgebra.fitting

Result returned by a fitting function.

FittingFunctionResult(double, double[]) - Constructor for class elki.math.linearalgebra.fitting.FittingFunctionResult

Trivial/generic constructor for the result class

FixedDBIDsFilter - Class in elki.datasource.filter

This filter assigns static DBIDs, based on the sequence the objects appear in the bundle by adding a column of DBID type to the bundle.

FixedDBIDsFilter(int) - Constructor for class elki.datasource.filter.FixedDBIDsFilter

Constructor.

FixedDBIDsFilter.Par - Class in elki.datasource.filter

Parameterization class.

fixedmean - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling

Field storing the fixed mean to use

fixedmean - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par

Field storing the fixed mean to use

FixedSizeByteBufferSerializer<T> - Interface in elki.utilities.io

Serializers with a fixed length serialization.

Flag - Class in elki.utilities.optionhandling.parameters

Option class specifying a flag object.

Flag(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.Flag

Constructs a flag object with the given optionID.

FLAG_CHEAP_ONLY - Static variable in class elki.database.query.QueryBuilder

Cheap query only - do not build indexes automatically

FLAG_EXACT_ONLY - Static variable in class elki.database.query.QueryBuilder

Exact queries only

FLAG_HIDDEN - Static variable in class elki.visualization.projections.SimpleParallel

Flag for visibility

FLAG_INTERPOLATED - Static variable in interface elki.visualization.style.lines.LineStyleLibrary

Meta flag to request an 'interpolated' version of the style

FLAG_INVERTED - Static variable in class elki.visualization.projections.SimpleParallel

Flag for inverted dimensions TODO: handle inversions via scales?

FLAG_LINEAR_ONLY - Static variable in class elki.database.query.QueryBuilder

Linear scans only

FLAG_NO_CACHE - Static variable in class elki.database.query.QueryBuilder

Do not keep auto-generated indexes (c.f., MaterializeKNNPreprocessor).

FLAG_OPTIMIZED_ONLY - Static variable in class elki.database.query.QueryBuilder

Optimized queries only, no linear scans

FLAG_PRECOMPUTE - Static variable in class elki.database.query.QueryBuilder

Flag indicating expected pairwise usage / need for precomputation.

FLAG_STRONG - Static variable in interface elki.visualization.style.lines.LineStyleLibrary

Meta flag to request a 'stronger' version of the style

FLAG_WEAK - Static variable in interface elki.visualization.style.lines.LineStyleLibrary

Meta flag to request a 'weaker' version of the style

Flag.BooleanConsumer - Interface in elki.utilities.optionhandling.parameters

Represents an operation that accepts a single boolean-valued argument and returns no result.

FlagParameterConfigurator - Class in elki.gui.configurator

Provide a configuration panel to modify a boolean via a checkbox.

FlagParameterConfigurator(Flag, JComponent) - Constructor for class elki.gui.configurator.FlagParameterConfigurator

flags - Variable in class elki.database.query.QueryBuilder

Query flags

flags - Variable in class elki.gui.util.DynamicParameters.Node

flags - Variable in class elki.visualization.projections.SimpleParallel

Flags for the dimensions

flags - Variable in class elki.visualization.VisualizationTask

Render capabilities

FLAGS_NO_INHERIT - Static variable in class elki.database.query.QueryBuilder

Flags that are not inherited to nested distanceQuery calls.

FLAGS_NO_OPTIMIZER - Static variable in class elki.database.query.QueryBuilder

Flags that do not allow the optimizer to run.

FlatRStarTree - Class in elki.index.tree.spatial.rstarvariants.flat

FlatRTree is a spatial index structure based on a R*-Tree but with a flat directory.

FlatRStarTree(PageFile<FlatRStarTreeNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

Constructor.

FlatRStarTreeFactory<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.flat

Factory for flat R*-Trees.

FlatRStarTreeFactory(PageFileFactory<?>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory

Constructor.

FlatRStarTreeFactory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.flat

Parameterization class.

FlatRStarTreeIndex<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.flat

The common use of the flat rstar tree: indexing number vectors.

FlatRStarTreeIndex(Relation<O>, PageFile<FlatRStarTreeNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex

Constructor.

FlatRStarTreeNode - Class in elki.index.tree.spatial.rstarvariants.flat

Represents a node in a flat R*-Tree.

FlatRStarTreeNode() - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode

Empty constructor for Externalizable interface.

FlatRStarTreeNode(int, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode

Creates a new FlatRStarTreeNode with the specified parameters.

FlexibleBetaLinkage - Class in elki.clustering.hierarchical.linkage

Flexible-beta linkage as proposed by Lance and Williams.

FlexibleBetaLinkage(double) - Constructor for class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage

Constructor.

FlexibleBetaLinkage.Par - Class in elki.clustering.hierarchical.linkage

Parameterization class.

FlexibleLOF<O> - Class in elki.outlier.lof

Flexible variant of the "Local Outlier Factor" algorithm.

FlexibleLOF(int, int, Distance<? super O>, Distance<? super O>) - Constructor for class elki.outlier.lof.FlexibleLOF

Constructor.

FlexibleLOF.LOFResult<O> - Class in elki.outlier.lof

Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the FlexibleLOF algorithm.

FlexibleLOF.Par<O> - Class in elki.outlier.lof

Parameterization class.

flipC(long, int) - Static method in class elki.utilities.datastructures.BitsUtil

Invert bit number "off" in v.

flipI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil

Invert bit number "off" in v.

flipSecondEquals(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection

Flip the y axis.

flipTriangle(int, long[]) - Method in class elki.math.geometry.SweepHullDelaunay2D

Flip a single triangle, if necessary.

flipTriangles(long[]) - Method in class elki.math.geometry.SweepHullDelaunay2D

Flip triangles as necessary

flipTriangles(long[], long[]) - Method in class elki.math.geometry.SweepHullDelaunay2D

Flip triangles as necessary

FLOAT_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect

Adapter for float arrays.

FLOAT_CACHE_MAGIC - Static variable in class elki.distance.external.DiskCacheBasedFloatDistance

Magic to identify double cache matrices

FLOAT_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil

Static instance.

FLOAT_VECTOR_FIELD - Static variable in class elki.data.type.TypeUtil

Input type for algorithms that require number vector fields.

FLOAT0 - Static variable in class elki.data.SparseFloatVector

Float constant, for missing values in (inefficient) SparseFloatVector.getValue(int) API.

FloatArrayAdapter - Class in elki.utilities.datastructures.arraylike

Use a float[] in the ArrayAdapter API.

FloatArrayAdapter() - Constructor for class elki.utilities.datastructures.arraylike.FloatArrayAdapter

Private constructor - use the static instance in FloatArrayAdapter.STATIC!

FLOATARRAYADAPTER - Static variable in class elki.utilities.datastructures.arraylike.ArrayLikeUtil

Use a float array in the array API.

FloatSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.FloatSerializer

Constructor.

floatToDoubleLower(float) - Static method in class elki.math.MathUtil

Return the largest double that rounds up to this float.

floatToDoubleUpper(float) - Static method in class elki.math.MathUtil

Return the largest double that rounds down to this float.

floatValue() - Method in class elki.data.Bit

floatValue(int) - Method in class elki.data.FloatVector

floatValue(int) - Method in interface elki.data.NumberVector

Returns the value in the specified dimension as float.

floatValue(int) - Method in class elki.data.SparseFloatVector

Deprecated.

floatValue(int) - Method in interface elki.data.SparseNumberVector

Deprecated.

As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterFloatValue(int).

FloatVector - Class in elki.data

Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.

FloatVector(float[]) - Constructor for class elki.data.FloatVector

Create a FloatVector consisting of the given float values.

FloatVector(float[], boolean) - Constructor for class elki.data.FloatVector

Private constructor.

FloatVector.Factory - Class in elki.data

Factory for float vectors.

FloatVector.Factory.Par - Class in elki.data

Parameterization class.

FloatVector.ShortSerializer - Class in elki.data

Serialization class for dense float vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.

FloatVector.SmallSerializer - Class in elki.data

Serialization class for dense float vectors with up to 127 dimensions, by using a byte for storing the dimensionality.

FloatVector.VariableSerializer - Class in elki.data

Serialization class for variable dimensionality by using VarInt encoding.

flush() - Method in class elki.gui.util.LogPane.LogPaneHandler

flush() - Method in class elki.gui.util.LogPanel.LogPanelHandler

flush() - Method in class elki.logging.CLISmartHandler

Flush output streams

flush() - Method in class elki.persistent.LRUCache

Flushes this caches by writing any entry to the underlying file.

flush() - Method in class elki.result.textwriter.TextWriterStream

Flush output: write inline data, then write comment section.

flushBuffer(ByteBuffer, WritableByteChannel) - Method in class elki.datasource.bundle.BundleWriter

Flush the current write buffer to disk.

flushDataStoreEvents() - Method in class elki.database.AbstractDatabase

flushDataStoreEvents() - Method in interface elki.database.Database

Fires all collected insertion, deletion and update events as one DataStoreEvent, i.e. notifies all registered DataStoreListener how the content of the database has been changed since Database.accumulateDataStoreEvents() has been called.

flushDataStoreEvents() - Method in class elki.database.DatabaseEventManager

Fires all collected insertion, deletion or update events as one DataStoreEvent, i.e. notifies all registered DataStoreListener how the content of the database has been changed since DatabaseEventManager.accumulateDataStoreEvents() was called.

fMeasure(double) - Method in class elki.evaluation.clustering.PairCounting

Get the pair-counting F-Measure

fMeasureFirst() - Method in class elki.evaluation.clustering.SetMatchingPurity

Get the Van Rijsbergen’s F measure (asymmetric) for first clustering

fMeasureSecond() - Method in class elki.evaluation.clustering.SetMatchingPurity

Get the Van Rijsbergen’s F measure (asymmetric) for second clustering

fmt(double) - Static method in class elki.visualization.svg.SVGUtil

Format a double according to the SVG specs.

FMT - Static variable in class elki.visualization.svg.SVGUtil

Formatter to output numbers in a valid SVG number format.

focusGained(FocusEvent) - Method in class elki.gui.util.TreePopup.Handler

focusLost(FocusEvent) - Method in class elki.gui.util.TreePopup.Handler

fold - Variable in class elki.evaluation.classification.holdout.DisjointCrossValidation

Holds the number of folds, current fold.

fold - Variable in class elki.evaluation.classification.holdout.RandomizedCrossValidation

Holds the number of folds, current fold.

fold - Variable in class elki.evaluation.classification.holdout.StratifiedCrossValidation

Holds the number of folds, current fold.

FOLDER_ID - Static variable in class elki.result.ExportVisualizations.Par

Parameter to specify the output folder

folderIcon - Variable in class elki.gui.util.TreePopup.Renderer

Icons

folders - Variable in class elki.utilities.ELKIServiceScanner.DirClassIterator

follow(int, int[]) - Static method in class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit

Union-find with simple path compression.

FONT_FAMILY - Static variable in interface elki.visualization.style.StyleLibrary

Font family

fontsize - Variable in class elki.visualization.parallel3d.util.SimpleMenuOverlay

Font size.

fontsize - Variable in class elki.visualization.parallel3d.util.SimpleMessageOverlay

Font size.

fontsize - Variable in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance

Font size to use.

fontsize - Variable in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance

Font size to use.

FORCE_LABEL_ID - Static variable in class elki.result.ClusteringVectorDumper.Par

Force label parameter.

forceLabel - Variable in class elki.result.ClusteringVectorDumper

Optional label to force for this output.

forceLabel - Variable in class elki.result.ClusteringVectorDumper.Par

Optional label to force for this output.

forcelinear - Variable in class elki.application.benchmark.ValidateApproximativeKNNIndex

Force linear scanning.

forEach(BiConsumer<? super DBIDRef, ? super O>) - Method in interface elki.database.relation.Relation

Execute a function for each ID.

forEach(Consumer<? super DBIDRef>) - Method in interface elki.database.ids.DBIDs

Execute a function for each ID.

forEach(Consumer<? super DBIDRef>) - Method in class elki.database.ids.EmptyDBIDs

forEach(Consumer<? super O>) - Method in class elki.utilities.datastructures.iterator.EmptyIterator

forEach(Consumer<? super O>) - Method in interface elki.utilities.datastructures.iterator.It

Process the remaining elements - this will invalidate the iterator.

forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.CombinedIntGenerator

forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.ExponentialIntGenerator

forEach(IntConsumer) - Method in interface elki.utilities.datastructures.range.IntGenerator

Process the entire series once.

forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.LinearIntGenerator

forEach(IntConsumer) - Method in class elki.utilities.datastructures.range.StaticIntGenerator

forEachDouble(DoubleDBIDList.Consumer) - Method in interface elki.database.ids.DoubleDBIDList

Execute a function for each ID.

forEachDouble(DoubleRelation.Consumer) - Method in interface elki.database.relation.DoubleRelation

Execute a function for each ID.

ForestBuilder(Relation<? extends NumberVector>, int, Random) - Constructor for class elki.outlier.density.IsolationForest.ForestBuilder

Constructor for the tree builder.

forgetRenderedImage() - Method in class elki.visualization.opticsplot.OPTICSPlot

Free memory used by rendered image.

forgetRenderedImage() - Method in class elki.visualization.silhouette.SilhouettePlot

Free memory used by rendered image.

forgetTextures(GL) - Method in class elki.visualization.parallel3d.Parallel3DRenderer

format - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

Output format parameter.

format - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par

Output format parameter.

format - Variable in class elki.datasource.parser.AbstractStreamingParser.Par

Reader format.

format - Variable in class elki.distance.external.AsciiDistanceParser.Par

Reader format.

format - Variable in class elki.result.ExportVisualizations

Output file format.

format - Variable in class elki.result.ExportVisualizations.Par

Output file format.

format - Variable in class elki.visualization.svg.SVGScoreBar

Number format, set to print the actual score

format(boolean) - Static method in class elki.utilities.io.FormatUtil

Formats the boolean b.

format(boolean[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the boolean array b with ',' as separator.

format(byte[]) - Static method in class elki.utilities.io.FormatUtil

Formats the byte array a for printing purposes.

format(double[]) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with ', ' as separator and default precision.

format(double[][]) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with ',' as separator and 2 fraction digits.

format(double[][], int, int, String, String, String) - Static method in class elki.utilities.io.FormatUtil

Returns a string representation of this matrix.

format(double[][], String) - Static method in class elki.utilities.io.FormatUtil

Returns a string representation of this matrix.

format(double[][], String, String, String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the array of double arrays d with 'the specified separators and fraction digits.

format(double[][], NumberFormat) - Static method in class elki.utilities.io.FormatUtil

returns String-representation of Matrix.

format(double[], int, int) - Static method in class elki.utilities.io.FormatUtil

Returns a string representation of this vector.

format(double[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with the specified separator.

format(double[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with the specified number format.

format(double[], NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with the specified number format.

format(float[]) - Static method in class elki.utilities.io.FormatUtil

Formats the float array f with ',' as separator and default precision.

format(float[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the float array d with the specified number format.

format(float[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the float array d with the specified number format.

format(int[]) - Static method in class elki.utilities.io.FormatUtil

Formats the int array a for printing purposes.

format(int[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the int array a for printing purposes.

format(long[]) - Static method in class elki.utilities.io.FormatUtil

Formats the long array a for printing purposes.

format(Object...) - Method in class elki.gui.minigui.MiniGUI

Format objects to a command line.

format(String[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the string array d with the specified separator.

format(NumberFormat, StringBuilder, double, int) - Method in class elki.math.linearalgebra.LinearEquationSystem

Helper method for output of equations and solution.

format(Collection<String>, String) - Static method in class elki.utilities.io.FormatUtil

Formats the String collection with the specified separator.

format(LogRecord) - Method in class elki.logging.ErrorFormatter

format(LogRecord) - Method in class elki.logging.MessageFormatter

Retrieves the message as it is set in the given LogRecord.

Format() - Constructor for enum elki.result.ExportVisualizations.Format

FORMAT_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par

Output format.

FORMAT_ID - Static variable in class elki.result.ExportVisualizations.Par

Parameter to specify the output format

formatBit(StringBuilder, boolean) - Static method in class elki.utilities.io.FormatUtil

Format a boolean value as string "1" or "0".

formatCause(Throwable) - Static method in exception elki.utilities.optionhandling.WrongParameterValueException

Format the error cause.

formatCSSClass(CSSClass, int, double, Object...) - Method in class elki.visualization.style.lines.DashedLineStyleLibrary

formatCSSClass(CSSClass, int, double, Object...) - Method in interface elki.visualization.style.lines.LineStyleLibrary

Add the formatting statements to the given CSS class.

formatCSSClass(CSSClass, int, double, Object...) - Method in class elki.visualization.style.lines.SolidLineStyleLibrary

formatForConsole(StringBuilder, int, Collection<TrackedParameter>) - Static method in class elki.utilities.optionhandling.OptionUtil

Format a list of options (and associated owning objects) for console help output.

formatMemory(long) - Static method in class elki.database.query.EmpiricalQueryOptimizer

Format a memory amount.

formatRead(String) - Static method in exception elki.utilities.optionhandling.WrongParameterValueException

Format the value read for the parameter.

FORMATS - Static variable in class elki.visualization.savedialog.SVGSaveDialog

Supported file format (extensions)

formatSelector - Variable in class elki.visualization.savedialog.SaveOptionsPanel

formatTimeDelta(long, CharSequence) - Static method in class elki.utilities.io.FormatUtil

Formats a time delta in human readable format.

formatTo(StringBuilder, boolean) - Static method in class elki.utilities.io.FormatUtil

Format a boolean value as string "true" or "false".

formatTo(StringBuilder, boolean[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the boolean array d.

formatTo(StringBuilder, byte[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the byte array d.

formatTo(StringBuilder, double[][], String, String, String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the array of double arrays d with the specified separators and fraction digits.

formatTo(StringBuilder, double[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with the default number format.

formatTo(StringBuilder, double[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the double array d with the specified number format.

formatTo(StringBuilder, float[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the float array d with the default number format.

formatTo(StringBuilder, float[], String, NumberFormat) - Static method in class elki.utilities.io.FormatUtil

Formats the float array d with the specified number format.

formatTo(StringBuilder, int[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the int array d.

formatTo(StringBuilder, long[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the long array d.

formatTo(StringBuilder, short[], String) - Static method in class elki.utilities.io.FormatUtil

Formats the short array d.

formatTo(StringBuilder, String) - Method in class elki.gui.minigui.MiniGUI

Format a single string for the command line.

formatTo(StringBuilder, List<?>) - Method in class elki.gui.minigui.MiniGUI

Format a list of strings to a buffer.

FormatUtil - Class in elki.utilities.io

Utility methods for output formatting of various number objects

FormatUtil() - Constructor for class elki.utilities.io.FormatUtil

Private constructor.

formatValue() - Method in class elki.logging.statistics.AtomicLongCounter

formatValue() - Method in class elki.logging.statistics.DoubleStatistic

formatValue() - Method in class elki.logging.statistics.LongStatistic

formatValue() - Method in class elki.logging.statistics.MillisTimeDuration

formatValue() - Method in class elki.logging.statistics.NanoDuration

formatValue() - Method in interface elki.logging.statistics.Statistic

Get a formatted version of the value, for output.

formatValue() - Method in class elki.logging.statistics.StringStatistic

formatValue() - Method in class elki.logging.statistics.UnsynchronizedLongCounter

formatValue(double) - Method in class elki.math.scales.LinearScale

Format value according to the scales resolution (i.e. appropriate number of digits)

formatValue(List<Class<? extends C>>) - Method in class elki.utilities.optionhandling.parameters.ClassListParameter

Format as string.

FourC - Class in elki.clustering.correlation

4C identifies local subgroups of data objects sharing a uniform correlation.

FourC(FourC.Settings) - Constructor for class elki.clustering.correlation.FourC

Constructor.

FourC.Par - Class in elki.clustering.correlation

Parameterization class.

FourC.Settings - Class in elki.clustering.correlation

Class wrapping the 4C parameter settings.

FourC.Settings.Par - Class in elki.clustering.correlation

Parameterization class for 4C settings.

FourCCorePredicate - Class in elki.clustering.dbscan.predicates

The 4C core point predicate.

FourCCorePredicate(FourC.Settings) - Constructor for class elki.clustering.dbscan.predicates.FourCCorePredicate

Default constructor.

FourCCorePredicate.Instance - Class in elki.clustering.dbscan.predicates

Instance for a particular data set.

FourCCorePredicate.Par - Class in elki.clustering.dbscan.predicates

Parameterization class

FourCNeighborPredicate - Class in elki.clustering.dbscan.predicates

4C identifies local subgroups of data objects sharing a uniform correlation.

FourCNeighborPredicate(FourC.Settings) - Constructor for class elki.clustering.dbscan.predicates.FourCNeighborPredicate

Constructor.

FourCNeighborPredicate.Instance - Class in elki.clustering.dbscan.predicates

Instance for a particular data set.

FourCNeighborPredicate.Par - Class in elki.clustering.dbscan.predicates

Parameterization class.

fowlkesMallows() - Method in class elki.evaluation.clustering.PairCounting

Computes the pair-counting Fowlkes-mallows (flat only, non-hierarchical!)

FPGrowth - Class in elki.itemsetmining

FP-Growth is an algorithm for mining the frequent itemsets by using a compressed representation of the database called FPGrowth.FPTree.

FPGrowth(double, int, int) - Constructor for class elki.itemsetmining.FPGrowth

Constructor.

FPGrowth.FPNode - Class in elki.itemsetmining

A single node of the FP tree.

FPGrowth.FPNode.Translator - Interface in elki.itemsetmining

Translator class for tree printing.

FPGrowth.FPTree - Class in elki.itemsetmining

FP-Tree data structure

FPGrowth.FPTree.Collector - Interface in elki.itemsetmining

Interface for collecting frequent itemsets found.

FPGrowth.Par - Class in elki.itemsetmining

Parameterization class.

FPMIN - Static variable in class elki.math.statistics.distribution.GammaDistribution

Precision threshold in GammaDistribution.regularizedGammaQ(double, double)

FPNode(FPGrowth.FPNode, int) - Constructor for class elki.itemsetmining.FPGrowth.FPNode

Constructor.

FPTree(int) - Constructor for class elki.itemsetmining.FPGrowth.FPTree

Constructor.

FractionalSharedNearestNeighborSimilarity<O> - Class in elki.similarity

SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.

FractionalSharedNearestNeighborSimilarity(SharedNearestNeighborIndex.Factory<O>) - Constructor for class elki.similarity.FractionalSharedNearestNeighborSimilarity

Constructor.

FractionalSharedNearestNeighborSimilarity.Instance<T> - Class in elki.similarity

Actual instance for a dataset.

frame - Variable in class elki.gui.minigui.MiniGUI

The frame

frame - Variable in class elki.gui.multistep.MultiStepGUI

The frame

frame - Variable in class elki.gui.util.ParameterTable

Containing frame.

frame - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance

Frame

frameBufferID - Variable in class elki.visualization.parallel3d.Parallel3DRenderer

Framebuffer for render-to-texture

FREE - Static variable in class elki.svm.solver.Solver

frequentItemAlgo - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration

Frequent Itemset Algorithm to be used.

frequentItemAlgo - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par

Parameter for frequent itemset mining.

FREQUENTITEMALGO_ID - Static variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par

Parameter to specify the frequentItemsetAlgorithm to be used.

frequentItemsets(List<? extends Itemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class elki.itemsetmining.APRIORI

Returns the frequent BitSets out of the given BitSets with respect to the given database.

FrequentItemsetsResult - Class in elki.result

Result class for frequent itemset mining algorithms.

FrequentItemsetsResult(List<Itemset>, VectorFieldTypeInformation<BitVector>, int) - Constructor for class elki.result.FrequentItemsetsResult

Constructor.

frequentItemsetsSparse(List<SparseItemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class elki.itemsetmining.APRIORI

Returns the frequent BitSets out of the given BitSets with respect to the given database.

from(DBIDDataStore, DBIDRef) - Method in interface elki.database.ids.DBIDVar

Update variable from a data store.

from(DBIDDataStore, DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDVar

fromByteBuffer(ByteBuffer) - Method in class elki.data.BitVector.ShortSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.ByteVector.ShortSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.ByteVector.SmallSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.DoubleVector.ShortSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.DoubleVector.SmallSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.DoubleVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.FloatVector.ShortSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.FloatVector.SmallSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.FloatVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.IntegerVector.ShortSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.IntegerVector.SmallSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.IntegerVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.LabelList.Serializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.ShortVector.ShortSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.ShortVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.SimpleClassLabel.Serializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseByteVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseDoubleVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseFloatVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseIntegerVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.SparseShortVector.VariableSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer.SimpleTypeSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.data.type.TypeInformationSerializer.VectorTypeSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.database.ids.integer.IntegerDBID.DynamicSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.database.ids.integer.IntegerDBID.StaticSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.ByteSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.DoubleSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.FloatSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.IntegerSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.LongSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.ShortSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.StringSerializer

fromByteBuffer(ByteBuffer) - Method in class elki.utilities.io.ByteArrayUtil.VarintSerializer

Deprecated.

fromByteBuffer(ByteBuffer) - Method in interface elki.utilities.io.ByteBufferSerializer

Deserialize an object from a byte buffer (e.g., disk)

fromMinMax(double, double) - Static method in class elki.utilities.scaling.LinearScaling

Make a linear scaling from a given minimum and maximum.

fromStream(BundleStreamSource) - Static method in class elki.datasource.bundle.MultipleObjectsBundle

Convert an object stream to a bundle

FULL - elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Mode

Center, rotate, and scale

fulldatabase - Variable in class elki.clustering.correlation.CASH

The entire relation.

FullDatabaseReferencePoints - Class in elki.utilities.referencepoints

Strategy to use the complete database as reference points.

FullDatabaseReferencePoints() - Constructor for class elki.utilities.referencepoints.FullDatabaseReferencePoints

Constructor, Parameterizable style.

FullProjection - Interface in elki.visualization.projections

Full vector space projections.

fullRedraw() - Method in class elki.visualization.visualizers.AbstractVisualization

fullRedraw() - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance

fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance

fullRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.AbstractParallelVisualization

fullRedraw() - Method in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.LineVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.AxisVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer.Instance

fullRedraw() - Method in class elki.visualization.visualizers.StaticVisualizationInstance

fullRedraw() - Method in class elki.visualization.visualizers.thumbs.ThumbnailVisualization

Perform a full redraw.

fullRedraw() - Method in interface elki.visualization.visualizers.Visualization

Request a full redrawing of the visualization.

fullRedraw() - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.visunproj.KeyVisualization.Instance

fullRedraw() - Method in class elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance

fullRedraw() - Method in class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance

FullTable(int) - Constructor for class elki.math.SinCosTable.FullTable

Constructor for tables with

func - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Function to fit to

function(double[]) - Method in class elki.clustering.correlation.cash.ParameterizationFunction

Computes the function value at alpha.

FuzzyCMeans<V extends NumberVector> - Class in elki.clustering.kmeans

Fuzzy Clustering developed by Dunn and revisited by Bezdek

FuzzyCMeans(int, int, int, double, double, boolean, KMeansInitialization) - Constructor for class elki.clustering.kmeans.FuzzyCMeans

Constructor.

FuzzyCMeans.Par - Class in elki.clustering.kmeans

Parameterization class.

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