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F

f - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
Model parameters: flattening, inverse flattening.
F1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator
See reference for the derivation of this constants.
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
Get the BCubed F1-Measure
f1Measure(double, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable.Util
F1-Measure (F-Measure with beta = 1)
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
Get the edit distance F1-Measure
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting
Get the pair-counting F1-Measure.
f1Measure() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity
Get the set matching F1-Measure Steinbach, M. and Karypis, G. and Kumar, V.
F2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator
See reference for the derivation of this constants.
f_maxima - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit
Caches maximum function values for given intervals, used for better split performance.
f_minima - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit
Caches minimum function values for given intervals, used for better split performance.
factor(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
Returns a factor for normalization in a certain dimension.
factor - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D
Scaling factor if we have very small polygons.
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling
Scaling factor
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
Scaling factor to use (1/ max - min)
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling
Scaling factor
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
Effective parameters.
factor - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling
Scaling factor to use (usually: Lambda * Stddev * Sqrt(2))
factorial(BigInteger) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the Factorial of n, often written as c!
factorial(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Compute the Factorial of n, often written as c!
factories - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Factories to use
factories - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
Projections and visualization factories.
factories - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer
Visualizer factories
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.BitVector
Static instance.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.DoubleVector
Static factory instance.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.FloatVector
Static factory instance.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
Object factory.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection
Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection
Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
Object factory.
factory - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection
Vector factory.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector
Static instance.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
Static instance.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
Static instance.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
Static instance.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.SparseShortVector
Static instance.
factory - Variable in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation
Object factory for producing new instances.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject
Vector factory.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.UniformContinuousUncertainObject
Vector factory.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject
Vector factory.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.WeightedDiscreteUncertainObject
Vector factory.
FACTORY - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory
Static storage factory
FACTORY - Static variable in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Static DBID factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorConversionFilter
Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter
Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
Number vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter
Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter
Vector factory to use.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Vector factory class.
factory - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer
Factory object.
factory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Parameterizer
The index factory we use.
factory - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Parameterizer
The index factory we use.
FACTORY - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
Static vector factory.
factory - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
The factory
FACTORY_FILE_EXT - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
 
FACTORY_METHOD_NAME - Static variable in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
Name for a static "parameterize" factory method.
FACTORY_POSTFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry
Factory class postfix.
FACTORY_POSTFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner
Factory class postfix.
FAILED_LOAD - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry
Value to abuse for failures.
failOnErrors() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
Fail on errors, log any error that had occurred.
fallbackwriter - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Fallback writer, using toString.
FALSE - Static variable in class de.lmu.ifi.dbs.elki.data.Bit
False bit.
falseNegatives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix
The false negatives for the specified class.
falsePositiveRate(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix
Provides the false positive rate for the specified class.
falsePositiveRate() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix
Provides the false positive rate.
falsePositives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix
The false positives for the specified class.
family - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection
Random projection family
family - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer
Random generator.
family - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex
LSH hash function family to use.
family - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer
LSH hash function family to use.
FAMILY_ID - Static variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer
Parameter for the projection family.
FAMILY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer
Hash function family parameter.
FarReinsert - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert
Reinsert objects on page overflow, starting with farther objects first (even when they will likely be inserted into the same page again!)
FarReinsert(double, SpatialPrimitiveDistanceFunction<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert
Constructor.
FarReinsert.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert
Parameterization class.
FarReinsert.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert.Parameterizer
 
FarthestPointsInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
K-Means initialization by repeatedly choosing the farthest point (by the minimum distance to earlier points).
FarthestPointsInitialMeans(RandomFactory, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FarthestPointsInitialMeans
Constructor.
FarthestPointsInitialMeans.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
Parameterization class.
FarthestPointsInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FarthestPointsInitialMeans.Parameterizer
 
FarthestSumPointsInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
K-Means initialization by repeatedly choosing the farthest point (by the sum of distances to previous objects).
FarthestSumPointsInitialMeans(RandomFactory, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FarthestSumPointsInitialMeans
Constructor.
FarthestSumPointsInitialMeans.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
Parameterization class.
FarthestSumPointsInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FarthestSumPointsInitialMeans.Parameterizer
 
FastABOD<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased
Angle-Based Outlier Detection / Angle-Based Outlier Factor.
FastABOD(SimilarityFunction<? super V>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD
Constructor for Angle-Based Outlier Detection (ABOD).
FastABOD.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased
Parameterization class.
FastABOD.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD.Parameterizer
 
fastHypot(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Computes the square root of the sum of the squared arguments without under or overflow.
fastHypot3(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Computes the square root of the sum of the squared arguments without under or overflow.
fastModPrime(long) - Static method in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
Fast modulo operation for the largest unsigned integer prime.
FastMultidimensionalScalingTransform<O> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
Rescale the data set using multidimensional scaling, MDS.
FastMultidimensionalScalingTransform(int, PrimitiveDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
Constructor.
FastMultidimensionalScalingTransform.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
Parameterization class.
FastMultidimensionalScalingTransform.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Parameterizer
 
FastNonThreadsafeRandom - Class in de.lmu.ifi.dbs.elki.math.random
Drop-in replacement for Random, but not using atomic long seeds.
FastNonThreadsafeRandom() - Constructor for class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom
Constructor called only by localRandom.initialValue.
FastNonThreadsafeRandom(long) - Constructor for class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom
Constructor.
FastOPTICS<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
FastOPTICS algorithm (Fast approximation of OPTICS) Note that this is not FOPTICS as in "Fuzzy OPTICS"!
FastOPTICS(int, RandomProjectedNeighborsAndDensities<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS
Constructor.
FastOPTICS.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
Parameterization class.
FastOPTICS.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS.Parameterizer
 
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Fast project a vector from data to render space
fastProjectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Fast project a vector from data to render space
fastProjectDataToRenderSpace(double, int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Project the value of a single axis to its display value
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
fastProjectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
fastProjectDataToRenderSpace(double, int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
fastProjectDataToScaledSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectDataToScaledSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from data space to scaled space.
fastProjectDataToScaledSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from data space to scaled space.
fastProjectDataToScaledSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectRelativeDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from data space to rendering space.
fastProjectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
fastProjectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectRelativeScaledToRender(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D
Project a vector from scaled space to rendering space.
fastProjectRelativeScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
fastProjectRelativeScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectRelativeScaledToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a vector from scaled space to rendering space.
fastProjectRelativeScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectRenderToDataSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectRenderToDataSpace(double, double) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a data vector from rendering space to data space.
fastProjectRenderToDataSpace(double, int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Project a display value back to the original data space
fastProjectRenderToDataSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectRenderToDataSpace(double, int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
fastProjectRenderToScaledSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectRenderToScaledSpace(double, double) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a vector from rendering space to scaled space.
fastProjectRenderToScaledSpace(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastProjectScaledToRender(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection1D
Project a vector from scaled space to rendering space.
fastProjectScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
fastProjectScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
 
fastProjectScaledToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D
Project a vector from scaled space to rendering space.
fastProjectScaledToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
fastTimes(Matrix, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil
This is an ugly hack, but we don't want to have the Matrix class depend on NumberVector.
fastUpperBound(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures
fastUpperBound function calculates an upper Bound as k*maxDist(pf[i], smallest neighborhood)
fc - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
The fileChooser on which this panel is installed.
FDBSCAN - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.
FDBSCAN(double, int, double, RandomFactory, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN
Constructor that initialized GeneralizedDBSCAN.
FDBSCAN.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
Parameterizer class.
FDBSCAN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN.Parameterizer
 
FDBSCANNeighborPredicate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
Density-based Clustering of Applications with Noise and Fuzzy objects (FDBSCAN) is an Algorithm to find sets in a fuzzy database that are density-connected with minimum probability.
FDBSCANNeighborPredicate(double, int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate
Constructor.
FDBSCANNeighborPredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
Instance of the neighbor predicate.
FDBSCANNeighborPredicate.Instance(double, int, double, Relation<? extends UncertainObject>, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance
Constructor.
FDBSCANNeighborPredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
Parameterizer class.
FDBSCANNeighborPredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer
 
FEATURE_VECTORS - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Any feature vector type.
FeatureBagging - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta
A simple ensemble method called "Feature bagging" for outlier detection.
FeatureBagging(int, int, boolean, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging
Constructor.
FeatureBagging.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta
Parameterization class.
FeatureBagging.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
 
FeatureSelection<V extends FeatureVector<F>,F> - Class in de.lmu.ifi.dbs.elki.data.projection
Projection class for number vectors.
FeatureSelection(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
Constructor.
FeatureSelection.Parameterizer<V extends FeatureVector<F>,F> - Class in de.lmu.ifi.dbs.elki.data.projection
Parameterization class.
FeatureSelection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection.Parameterizer
 
FeatureVector<D> - Interface in de.lmu.ifi.dbs.elki.data
Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory<V extends FeatureVector<? extends D>,D> - Interface in de.lmu.ifi.dbs.elki.data
Factory API for this feature vector.
FEATUREVECTORADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Static instance.
featureVectorAdapter(FeatureVector<F>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Get the static instance.
FeatureVectorAdapter<F> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Adapter to use a feature vector as an array of features.
FeatureVectorAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FeatureVectorAdapter
Constructor.
FieldTypeInformation - Interface in de.lmu.ifi.dbs.elki.data.type
Types with a fixed dimensionality (e.g. vector fields, but also e.g. polygon types) TODO: implement polygon and rectangle types!
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering
The file to be reparsed.
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.Parameterizer
The file to be reparsed
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore
The file to be reparsed
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer
The file to be reparsed
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory
The input file.
file - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Parameterizer
The input file.
file - Variable in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile
File to read and write
file - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
The file storing the entries of this index.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache
The underlying file of this cache.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
Holds the pages.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Random Access File object.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
The file storing the pages.
file - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
The file storing the pages.
FILE_EXISTS - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
File already exists, will not overwrite.
FILE_EXTENSION - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
Extension for txt-files.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.Parameterizer
Parameter that specifies the name of the file to be re-parsed.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer
Parameter that specifies the name of the file to be re-parsed.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory.Parameterizer
Optional parameter that specifies the name of the file storing the index.
FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory.Parameterizer
Optional parameter that specifies the name of the file storing the index.
FILE_NOT_FOUND - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
File not found. 404.
FILE_VERSION - Static variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader
Version number of this header (magic number).
FileBasedDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
File based database connection based on the parser to be set.
FileBasedDatabaseConnection(List<ObjectFilter>, Parser, File) - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection
Constructor.
FileBasedDatabaseConnection(List<ObjectFilter>, Parser, String) - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection
Constructor.
FileBasedDatabaseConnection(List<ObjectFilter>, Parser, InputStream) - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection
Constructor.
FileBasedDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource
Parameterization class.
FileBasedDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer
 
FileBasedDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Distance function that is based on double distances given by a distance matrix of an external ASCII file.
FileBasedDoubleDistanceFunction(DistanceParser, File) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
Constructor.
FileBasedDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
FileBasedDoubleDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer
 
FileBasedFloatDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Distance function that is based on float distances given by a distance matrix of an external ASCII file.
FileBasedFloatDistanceFunction(DistanceParser, File) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
Constructor.
FileBasedFloatDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
FileBasedFloatDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer
 
FileListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a list of files.
FileListParameter(OptionID, FileListParameter.FilesType) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter
Constructs a file list parameter with the given optionID, and file type.
FileListParameter.FilesType - Enum in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Available types of the files: FileListParameter.FilesType.INPUT_FILES denotes input files, FileListParameter.FilesType.OUTPUT_FILES denotes output files.
FileListParameter.FilesType() - Constructor for enum de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter.FilesType
 
filemenu - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu
File menu.
filename - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
Filename to load.
filename - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer
Filename to load.
filename - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor
File to load.
filename - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
File name.
filename - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
The file name to use
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory
File name.
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory.Parameterizer
File name.
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory
File name.
fileName - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory.Parameterizer
File name.
filename - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
Output file name
filename - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer
Output file name
FILENAME_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
File name prefix for the ELKI functionality discovery.
fileNameEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor
The file selector editor
filenameFromLabel(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
Derive a file name from the cluster label.
filenames - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
For producing unique filenames.
FileOrderBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
Trivial bulk loading - assumes that the file has been appropriately sorted before.
FileOrderBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit
Constructor.
FileOrderBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
Parameterization class.
FileOrderBulkSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit.Parameterizer
 
FileParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a file.
FileParameter(OptionID, FileParameter.FileType) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter
Constructs a file parameter with the given optionID, and file type.
FileParameter(OptionID, FileParameter.FileType, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter
Constructs a file parameter with the given optionID, file type, and optional flag.
FileParameter.FileType - Enum in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Available file types: FileParameter.FileType.INPUT_FILE denotes an input file, FileParameter.FileType.OUTPUT_FILE denotes an output file.
FileParameter.FileType() - Constructor for enum de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter.FileType
 
FileParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator
Provide a configuration panel to choose a file with a file selector button.
FileParameterConfigurator(FileParameter, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator
Constructor.
files - Variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection
Input file list.
files - Variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer
The input files.
files - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
 
filesType - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter
Specifies the type of the files, i.e. if the files are input or output files.
fileType - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter
The file type of this file parameter.
FileUtil - Class in de.lmu.ifi.dbs.elki.utilities
Various static helper methods to deal with files and file names.
FileUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.FileUtil
Fake Constructor.
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Parameterizer
 
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer
 
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Parameterizer
 
fill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer
Fill parameter.
FILL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
String constant.
FILL_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer
Flag for half-transparent filling of bubbles.
FILL_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer
Flag for half-transparent filling of bubbles.
fillAndSort(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Fill the array with the dimension projection needed for sorting.
fillDensities(KNNQuery<O>, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC
Collect all densities into an array for sorting.
FILLED_PAGE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
Indicates a filled page.
FILLED_PAGE - Static variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
Indicates a filled page.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter
A standard implementation of the filter process.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.NoMissingValuesFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization
 
filter(MultipleObjectsBundle) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.ObjectFilter
Filter a set of object packages.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.selection.SortByLabelFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
 
filter - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Filter to use for dimensionality reduction.
filter - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer
Filter to use for dimensionality reduction.
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ExternalIDFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter
 
filter(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter
 
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter
Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter
 
filter(SortedEigenPairs) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.EigenPairFilter
Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter
 
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter
 
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter
 
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
 
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter
Filter eigenpairs.
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter
Filter eigenpairs
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter
 
filter(SortedEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter
Filter eigenpairs
filter - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter
Result filter pattern.
filter - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer
Result filter pattern.
filter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.FilteredIter
Class filter.
filter(VisualizerContext, Class<? super O>) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Filtered iteration over a stacked hierarchy.
filter(VisualizerContext, Object, Class<? super O>) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Filtered iteration over a stacked hierarchy.
filter1(int, int, List<DAFile>, VectorApproximation, int, VALPNormDistance) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery
 
FILTER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer
To specify the eigenvectors to keep.
FILTER_PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer
Pattern to filter the output Key: -out.filter
FilteredDistanceResultAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
This adapter is used to process a list of (double, DBID) objects, but allows skipping one object in the ranking.
FilteredDistanceResultAdapter(DoubleDBIDListIter, DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.FilteredDistanceResultAdapter
Constructor
FilteredEigenPairs - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Encapsulates weak and strong eigenpairs that have been filtered out by an eigenpair filter.
FilteredEigenPairs(List<EigenPair>, List<EigenPair>) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs
Creates a new object that encapsulates weak and strong eigenpairs that have been filtered out by an eigenpair filter.
FilteredIter<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
Filtered iterator.
FilteredIter(Hierarchy.Iter<?>, Class<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.FilteredIter
Constructor.
FilteredLocalPCAIndex<NV extends NumberVector> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Interface for an index providing local PCA results.
FilteredLocalPCAIndex.Factory<NV extends NumberVector,I extends FilteredLocalPCAIndex<NV>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Factory interface
filterResults(ResultHierarchy, Result, Class<? super C>) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil
Return only results of the given restriction class
filterResults(ResultHierarchy, Class<? super C>) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil
Return only results of the given restriction class
filterResults(VisualizerContext, Object, Class<? super O>) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Filtered iteration over the primary result tree.
filters - Variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection
The filters to invoke
filters - Variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer
Filters
filters - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter
The filters to be applied.
filters - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter.Parameterizer
The filters to be applied.
FILTERS_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer
Filters to apply to the input data.
filterSingleObject(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter
Normalize a single instance.
filterSingleObject(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter
Normalize a single instance.
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseErfNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.LengthNormalization
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization
 
filterSingleObject(O) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter
 
filterSingleObject(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter
 
filterSingleObject(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter
 
filterSingleObject(NumberVector) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter
 
filterSingleObject(NumberVector) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter
 
FilterUtil - Class in de.lmu.ifi.dbs.elki.datasource.filter
Utilities for implementing filters.
FilterUtil() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil
Fake constructor: do not instantiate.
finalAssignment(List<Pair<Vector, long[]>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Refinement step to assign the objects to the final clusters.
finalize() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
Upon destruction, report any errors that weren't handled yet.
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
 
finalizeCluster() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel
Finalize a cluster model.
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
 
finalizeCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
 
finalizeCluster(Clustering<DendrogramModel>, Cluster<DendrogramModel>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster
Make the cluster for the given object
finalizeEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
 
finalizeEStep() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel
Finalize the E step.
finalizeEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
 
finalizeEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
 
find(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList
Find the last position with a smaller or equal key.
find(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFind
Find the component ID of an element.
find(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
 
find(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
 
findAllClassesWithReferences() - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
Find all classes that have the reference annotation
findAllImplementations(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry
Find all implementations of a particular interface.
findAllImplementations(Class<?>, boolean, boolean) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry
Find all implementations of a given class in the classpath.
findAndEvaluateThreshold(DoubleDynamicHistogram) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
Evaluate the histogram to find a suitable threshold
findBasis(Relation<V>, DistanceQuery<V>, ORCLUS<V>.ORCLUSCluster, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Finds the basis of the subspace of dimensionality dim for the specified cluster.
findBest(int, double[], double[], int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
 
findBest(ArrayModifiableDBIDs, DBIDArrayMIter, DBIDVar) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance
Find the minimum in the candidates array.
findBestFit(List<V>, AttributeWiseCDFNormalization.Adapter, int, double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
Find the best fitting distribution.
findClassLabelColumn(MultipleObjectsBundle) - Static method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
Find the class label column in the given data set.
findClosestNode(NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree
Find the closest node (of depth tlevel or above, if there is no node at this depth) for the given vector.
findDatabase(ResultHierarchy, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil
Find the first database result in the tree.
findDatabase(ResultHierarchy) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil
Find the first database result in the tree.
findDenseSubspaceCandidates(Relation<V>, List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Determines the k-dimensional dense subspace candidates from the specified (k-1)-dimensional dense subspaces.
findDenseSubspaces(Relation<V>, List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Determines the k-dimensional dense subspaces and performs a pruning if this option is chosen.
findDepth(Clustering<M>) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
Compute the size of the clustering.
findDepth(Hierarchy<Cluster<M>>, Cluster<M>, int[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
Recursive depth computation.
findDimensions(ArrayDBIDs, Relation<V>, DistanceQuery<V>, RangeQuery<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Determines the set of correlated dimensions for each medoid in the specified medoid set.
findDimensions(ArrayList<PROCLUS<V>.PROCLUSCluster>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Refinement step that determines the set of correlated dimensions for each cluster centroid.
findEigenVectors(double[][], double[][], double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
Find the first eigenvectors and eigenvalues using power iterations.
findImplementation(Class<? super C>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry
Find an implementation of the given interface / super class, given a relative class name or alias name.
findLabelColumn(MultipleObjectsBundle) - Static method in class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil
Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a bundle.
findLabelColumn(BundleMeta) - Static method in class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil
Find the first "label-like" column (matching TypeUtil.GUESSED_LABEL ) in a type information.
findMatches(ModifiableDBIDs, Relation<?>, Object) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance
Find all matching objects.
findMerge(int, double[], DBIDArrayIter, DBIDArrayIter, WritableDBIDDataStore, WritableDoubleDataStore, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES
Perform the next merge step in AGNES.
findMerge(int, double[], DBIDArrayIter, DBIDArrayIter, double[], int[], WritableDBIDDataStore, WritableDoubleDataStore, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
Perform the next merge step.
findNew(VisualizerContext, Object, Class<? super A>, VisualizationTree.Handler1<A>) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Process new results.
findNewResultVis(VisualizerContext, Object, Class<? super A>, Class<? super B>, VisualizationTree.Handler2<A, B>) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Process new result combinations of an object type1 (in first hierarchy) having a child of type2 (in second hierarchy).
findNewSiblings(VisualizerContext, Object, Class<? super A>, Class<? super B>, VisualizationTree.Handler2<A, B>) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree
Process new result combinations of an object type1 (in first hierarchy) and any child of type2 (in second hierarchy) This is a bit painful, because we have two hierarchies with different types: results, and visualizations.
findNext() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
Find the next entry, since we need to skip some directories.
findOneDimensionalDenseSubspaceCandidates(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Determines the one-dimensional dense subspace candidates by making a pass over the database.
findOneDimensionalDenseSubspaces(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Determines the one dimensional dense subspaces and performs a pruning if this option is chosen.
findOPTICSClustering(VisualizerContext, Result) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
Find the first OPTICS clustering child of a result.
findOrCreate(ResultHierarchy, Result, String, String) - Static method in class de.lmu.ifi.dbs.elki.result.EvaluationResult
Find or create an evaluation result.
findOrCreateGroup(String) - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult
Find or add a new measurement group.
findOrientation(SweepHullDelaunay2D.Triangle) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
Find the orientation of the triangles to each other.
findOutliers(Relation<V>, List<MultivariateGaussianModel>, ArrayList<P3C.ClusterCandidate>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
Performs outlier detection by testing the Mahalanobis distance of each point in a cluster against the critical value of the ChiSquared distribution with as many degrees of freedom as the cluster has relevant attributes.
findParent(Relation<V>, Pair<long[], ArrayModifiableDBIDs>, TCustomHashMap<long[], List<ArrayModifiableDBIDs>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Returns the parent of the specified cluster
findPathToObject(IndexTreePath<E>, SpatialComparable, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Returns the path to the leaf entry in the specified subtree that represents the data object with the specified mbr and id.
findSeparation(Relation<NumberVector>, DBIDs, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
This method samples a number of linear manifolds an tries to determine which the one with the best cluster is.
findSNNNeighbors(SimilarityQuery<O>, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
Returns the shared nearest neighbors of the specified query object in the given database.
findSplit(ArrayDBIDs, DBIDArrayIter, DoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy
Find the splitting point in the ordered DBIDs list.
findSplitpoint(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Find the first space before position w or if there is none after w.
findStartingPoint() - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D
Find the starting point, and sort it to the beginning of the list.
findSteepAreaResult(ClusterOrder) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
Find the OPTICS clustering child of a cluster order.
fine(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'fine' debugging level.
fine(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'fine' debugging level.
finer(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finer' debugging level.
finer(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finer' debugging level.
finest(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finest' debugging level.
finest(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finest' debugging level.
finishGridRow() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
Complete the current grid row, adding the icon at the end
FiniteProgress - Class in de.lmu.ifi.dbs.elki.logging.progress
A progress object for a given overall number of items to process.
FiniteProgress(String, int) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress
Constructor.
FiniteProgress(String, int, Logging) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress
Constructor with auto-reporting to logging.
fireActionPerformed(ActionEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup
Notify action listeners.
fireKNNsInserted(DBIDs, DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Informs all registered KNNListener that new kNNs have been inserted and as a result some kNNs have been changed.
fireKNNsRemoved(DBIDs, DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
Informs all registered KNNListener that existing kNNs have been removed and as a result some kNNs have been changed.
fireObjectChanged(DBIDRef, DatabaseEventManager.Type) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Handles a DataStoreEvent with the specified type.
fireObjectInserted(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Event when a new object was inserted.
fireObjectRemoved(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Event when an objects was removed / deleted.
fireObjectsChanged(DBIDs, DatabaseEventManager.Type) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Handles a DataStoreEvent with the specified type.
fireObjectsInserted(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Event when new objects are inserted.
fireObjectsRemoved(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Event when objects were removed / deleted.
fireObjectsUpdated(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Event when objects have changed / were updated.
fireObjectsUpdated(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Event when an object was changed / updated.
firePanelUpdated() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
 
fireResultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Informs all registered ResultListener that a new result was added.
fireResultAdded(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
Informs all registered ResultListener that a new result was added.
fireResultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
Informs all registered ResultListener that a result has changed.
fireResultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Informs all registered ResultListener that a new result has been removed.
fireResultRemoved(Result, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
Informs all registered ResultListener that a new result has been removed.
fireSwitchEvent(ChangeEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox
Fire the event to listeners
fireValueChanged() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator
Notify listeners of a changed value.
fireValueChanged() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
 
first - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.DoubleIntInt
 
first - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
First value in pair
first - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr
State
first - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualGlobalConstraint
First number parameter.
first - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessGlobalConstraint
First number parameter.
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair
Double value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
first value
first - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair
First value in pair
FIRST_PRIMES - Static variable in class de.lmu.ifi.dbs.elki.math.Primes
The first 1000 prime numbers
firstAssignments - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
The assignments to the first routing object.
firstEventReceived - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.LOFKNNListener
Holds the first event of one of the both preprocessors.
FirstKInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
Initialize K-means by using the first k objects as initial means.
FirstKInitialMeans() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FirstKInitialMeans
Constructor.
FirstKInitialMeans.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
Parameterization class.
FirstKInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.FirstKInitialMeans.Parameterizer
 
FirstNEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
The FirstNEigenPairFilter marks the n highest eigenpairs as strong eigenpairs, where n is a user specified number.
FirstNEigenPairFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter
Constructor.
FirstNEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Parameterization class.
FirstNEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter.Parameterizer
 
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DerivativeDTWDistanceFunction
 
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
Fill the first row.
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
 
firstRow(double[], int, NumberVector, NumberVector, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
 
fitness - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum
 
FittingFunction - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.fitting
Interface for a function used in Levenberg-Marquard-Fitting
FittingFunctionResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.fitting
Result returned by a fitting function.
FittingFunctionResult(double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.FittingFunctionResult
Trivial/generic constructor for the result class
FixedDBIDsFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
This filter assigns static DBIDs, based on the sequence the objects appear in the bundle by adding a column of DBID type to the bundle.
FixedDBIDsFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter
Constructor.
FixedDBIDsFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
FixedDBIDsFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer
 
fixedmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling
Field storing the fixed mean to use
fixedmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer
 
FixedSizeByteBufferSerializer<T> - Interface in de.lmu.ifi.dbs.elki.utilities.io
Serializers with a fixed length serialization.
flag - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint
Flag the checking of the parameter constraints is dependent on.
Flag - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Option class specifying a flag object.
Flag(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag
Constructs a flag object with the given optionID.
FLAG_HIDDEN - Static variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
Flag for visibility
FLAG_INTERPOLATED - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary
Meta flag to request an 'interpolated' version of the style
FLAG_INVERTED - Static variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
Flag for inverted dimensions TODO: handle inversions via scales?
FLAG_NO_DETAIL - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Mark as not having a (sensible) detail view.
FLAG_NO_EMBED - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Flag to signal the visualizer should not be embedded.
FLAG_NO_EXPORT - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Flag to signal the visualizer should not be exported.
FLAG_NO_THUMBNAIL - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Flag to signal there is no thumbnail needed.
FLAG_STRONG - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary
Meta flag to request a 'stronger' version of the style
FLAG_WEAK - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary
Meta flag to request a 'weaker' version of the style
flagConstraint - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint
Indicates at which status of the flag the parameter is to be checked.
FlagParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator
Provide a configuration panel to modify a boolean via a checkbox.
FlagParameterConfigurator(Flag, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.FlagParameterConfigurator
 
flags - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
 
flags - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
Flags for the dimensions
flags - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Capabilities
FLATMATRIXADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Adapter for matrixes, reinterpreted as flat arrays.
FlatMatrixAdapter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Use a matrix as array, by flattening it into a sequence.
FlatMatrixAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FlatMatrixAdapter
Constructor.
FlatRStarTree - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat
FlatRTree is a spatial index structure based on a R*-Tree but with a flat directory.
FlatRStarTree(PageFile<FlatRStarTreeNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
Constructor.
FlatRStarTreeFactory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat
Factory for flat R*-Trees.
FlatRStarTreeFactory(PageFileFactory<?>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory
Constructor.
FlatRStarTreeFactory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat
Parameterization class.
FlatRStarTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory.Parameterizer
 
FlatRStarTreeIndex<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat
The common use of the flat rstar tree: indexing number vectors.
FlatRStarTreeIndex(Relation<O>, PageFile<FlatRStarTreeNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
Constructor.
FlatRStarTreeNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat
Represents a node in a flat R*-Tree.
FlatRStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode
Empty constructor for Externalizable interface.
FlatRStarTreeNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode
Creates a new FlatRStarTreeNode with the specified parameters.
FlexibleLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Flexible variant of the "Local Outlier Factor" algorithm.
FlexibleLOF(int, int, DistanceFunction<? super O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF
Constructor.
FlexibleLOF.LOFResult<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Encapsulates information like the neighborhood, the LRD and LOF values of the objects during a run of the FlexibleLOF algorithm.
FlexibleLOF.LOFResult(OutlierResult, KNNQuery<O>, KNNQuery<O>, WritableDoubleDataStore, WritableDoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult
Encapsulates information generated during a run of the FlexibleLOF algorithm.
FlexibleLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Parameterization class.
FlexibleLOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer
 
flipC(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Invert bit number "off" in v.
flipI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Invert bit number "off" in v.
flipSecondEquals(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
Flip the y axis.
flipTriangle(int, long[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
Flip a single triangle, if necessary.
flipTriangles(long[], long[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
Flip triangles as necessary
FLOAT_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Adapter for float arrays.
FLOAT_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
Magic to identify double cache matrices
FLOAT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
Static instance.
FLOAT_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that require number vector fields.
FLOATARRAYADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Use a float array in the array API.
FloatArrayAdapter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Use a double array as, well, double array in the ArrayAdapter API.
FloatArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FloatArrayAdapter
Constructor.
FloatDynamicHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
A flexible histogram storing float, that can dynamically adapt the number of bins to the data fed into the histogram.
FloatDynamicHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Constructor.
FloatHistogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram storing float values.
FloatHistogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator interface.
FloatStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram class storing float values.
FloatStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram
Constructor.
FloatStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator class.
FloatStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram.Iter
 
floatToDoubleLower(float) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Return the largest double that rounds up to this float.
floatToDoubleUpper(float) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Return the largest double that rounds down to this float.
floatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
 
floatValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
 
floatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns the value in the specified dimension as float.
floatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterFloatValue(int).
floatValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
 
floatValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
 
FloatVector - Class in de.lmu.ifi.dbs.elki.data
Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
FloatVector(float[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector
Private constructor.
FloatVector(float[]) - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector
Create a FloatVector consisting of the given float values.
FloatVector(Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector
Expects a matrix of one column.
FloatVector.Factory - Class in de.lmu.ifi.dbs.elki.data
Factory for float vectors.
FloatVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.Factory
 
FloatVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
Parameterization class.
FloatVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.Factory.Parameterizer
 
FloatVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense float vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
FloatVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.ShortSerializer
 
FloatVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense float vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
FloatVector.SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.SmallSerializer
 
FloatVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for variable dimensionality by using VarInt encoding.
FloatVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.VariableSerializer
 
flush() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane.LogPaneHandler
 
flush() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel.LogPanelHandler
 
flush() - Method in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler
Flush output streams
flush() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
Flushes this caches by writing any entry to the underlying file.
flush() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Flush output: write inline data, then write comment section.
flushBuffer(ByteBuffer, WritableByteChannel) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter
Flush the current write buffer to disk.
flushDataStoreEvents() - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
 
flushDataStoreEvents() - Method in interface de.lmu.ifi.dbs.elki.database.Database
Fires all collected insertion, deletion and update events as one DataStoreEvent, i.e. notifies all registered DataStoreListener how the content of the database has been changed since Database.accumulateDataStoreEvents() has been called.
flushDataStoreEvents() - Method in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
Fires all collected insertion, deletion or update events as one DataStoreEvent, i.e. notifies all registered DataStoreListener how the content of the database has been changed since DatabaseEventManager.accumulateDataStoreEvents() was called.
fMeasure(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable.Util
F-Measure
fMeasure(double) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting
Get the pair-counting F-Measure
fMeasureFirst() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity
Get the Van Rijsbergen’s F measure (asymmetric) for first clustering E.
fMeasureSecond() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity
Get the Van Rijsbergen’s F measure (asymmetric) for second clustering E.
FMT - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
Formatter to output numbers in a valid SVG number format.
fmt(double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
Format a double according to the SVG specs.
focusGained(FocusEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler
 
focusLost(FocusEvent) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler
 
fold - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation
Holds the number of folds, current fold.
fold - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation
Holds the number of folds, current fold.
fold - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation
Holds the number of folds, current fold.
FOLDER_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer
Parameter to specify the output folder Key: -vis.output
folderIcon - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer
Icons
folders - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
 
FONT_FAMILY - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Font family
fontsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance
Font size to use.
fontsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance
Font size to use.
FORCE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer
Force linear scanning.
FORCE_LABEL_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer
Force label parameter.
forceincomments - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Force incomments flag
forceLabel - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper
Optional label to force for this output.
forceLabel - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer
Optional label to force for this output.
forcelinear - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex
Force linear scanning.
forcelinear - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer
Force linear scanning.
forgetRenderedImage() - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
Free memory used by rendered image.
format - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators
Output format parameter.
format - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer
Output format parameter.
format - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser.Parameterizer
Reader format.
format - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser.Parameterizer
Reader format.
format(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.ErrorFormatter
 
format(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.MessageFormatter
Retrieves the message as it is set in the given LogRecord.
format(NumberFormat, StringBuilder, double, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Helper method for output of equations and solution.
format(double[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with the specified separator.
format(double[], NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with the specified number format.
format(double[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with the specified number format.
format(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with ', ' as separator and 2 fraction digits.
format(double[][]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with ',' as separator and 2 fraction digits.
format(double[][], String, String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the array of double arrays d with 'the specified separators and fraction digits.
format(float[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with the specified number format.
format(float[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the float array f with ',' as separator and 2 fraction digits.
format(int[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the int array a for printing purposes.
format(int[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the int array a for printing purposes.
format(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the long array a for printing purposes.
format(byte[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the byte array a for printing purposes.
format(boolean[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the boolean array b with ',' as separator.
format(boolean) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the boolean b.
format(long[], int, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of the specified bit set.
format(int, long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of the specified bit set.
format(Collection<String>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the String collection with the specified separator.
format(Matrix, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of this matrix.
format(Vector, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of this matrix.
format(Matrix, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of this matrix.
format(Matrix, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
returns String-representation of Matrix.
format(Matrix) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
returns String-representation of Matrix.
format(Vector, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
returns String-representation of Vector.
format(Vector) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns String-representation of Vector.
format(Vector, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of this matrix.
format(Matrix, String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Returns a string representation of this matrix.
format(String[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the string array d with the specified separator.
format(boolean, StringBuilder) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Format a boolean value as string "true" or "false".
format(int, StringBuilder) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Format an integer value as decimal.
format(long, StringBuilder) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Format a long value as decimal.
format - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar
Number format, set to print the actual score
FORMAT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer
Output format.
formatBit(boolean, StringBuilder) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Format a boolean value as string "1" or "0".
formatCause(Throwable) - Static method in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException
Format the error cause.
formatCSSClass(CSSClass, int, double, Object...) - Method in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
 
formatCSSClass(CSSClass, int, double, Object...) - Method in interface de.lmu.ifi.dbs.elki.visualization.style.lines.LineStyleLibrary
Add the formatting statements to the given CSS class.
formatCSSClass(CSSClass, int, double, Object...) - Method in class de.lmu.ifi.dbs.elki.visualization.style.lines.SolidLineStyleLibrary
 
formatForConsole(StringBuilder, int, String, Collection<TrackedParameter>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil
Format a list of options (and associated owning objects) for console help output.
formats - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog
Supported file format (extensions)
formatSelector - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
 
formatTimeDelta(long, CharSequence) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats a time delta in human readable format.
formatTo(StringBuilder, double[], String) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with the specified number format.
formatTo(StringBuilder, double[], String, NumberFormat) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Formats the double array d with the specified number format.
FormatUtil - Class in de.lmu.ifi.dbs.elki.utilities
Utility methods for output formatting of various number objects
FormatUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.FormatUtil
 
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
 
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.DoubleStatistic
 
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic
 
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration
 
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
 
formatValue() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Statistic
Get a formatted version of the value, for output.
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.StringStatistic
 
formatValue() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
 
formatValue(double) - Method in class de.lmu.ifi.dbs.elki.math.scales.LinearScale
Format value according to the scales resolution (i.e. appropriate number of digits)
FORWARD - Static variable in class de.lmu.ifi.dbs.elki.utilities.Util
Static instance.
forwardOption(Flag) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
Convenience - add a Flag option directly.
forwardOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
Convenience - add a Parameter for forwarding
forwardOrder() - Static method in class de.lmu.ifi.dbs.elki.utilities.Util
Compare two objects, forward.
FourC<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
4C identifies local subgroups of data objects sharing a uniform correlation.
FourC(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC
Constructor.
FourC.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
Parameterization class.
FourC.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer
 
FourC.Settings - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
Class wrapping the 4C parameter settings.
FourC.Settings() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings
 
FourC.Settings.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
Parameterization class for 4C settings.
FourC.Settings.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings.Parameterizer
 
FourCCorePredicate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
The PreDeCon core point predicate -- having at least minpts. neighbors, and a maximum preference dimensionality of lambda.
FourCCorePredicate(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate
Default constructor.
FourCCorePredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Instance for a particular data set.
FourCCorePredicate.Instance(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Instance
Constructor for this predicate.
FourCCorePredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Parameterization class
FourCCorePredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Parameterizer
 
FourCNeighborPredicate<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
4C identifies local subgroups of data objects sharing a uniform correlation.
FourCNeighborPredicate(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate
Constructor.
FourCNeighborPredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Instance for a particular data set.
FourCNeighborPredicate.Instance(DBIDs, DataStore<PreDeConNeighborPredicate.PreDeConModel>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Instance
Constructor.
FourCNeighborPredicate.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Parameterization class.
FourCNeighborPredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Parameterizer
 
fowlkesMallows() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting
Computes the pair-counting Fowlkes-mallows (flat only, non-hierarchical!)
FPGrowth - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
FP-Growth is an algorithm for mining the frequent itemsets by using a compressed representation of the database called FPGrowth.FPTree.
FPGrowth(double, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth
Constructor.
FPGrowth.FPNode - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
A single node of the FP tree.
FPGrowth.FPNode(FPGrowth.FPNode, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode
Constructor.
FPGrowth.FPNode.Translator - Interface in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
Translator class for tree printing.
FPGrowth.FPTree - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
FP-Tree data structure
FPGrowth.FPTree(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree
Constructor.
FPGrowth.FPTree.Collector - Interface in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
Interface for collecting frequent itemsets found.
FPGrowth.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
Parameterization class.
FPGrowth.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.Parameterizer
 
FractionalSharedNearestNeighborSimilarityFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
FractionalSharedNearestNeighborSimilarityFunction(SharedNearestNeighborIndex.Factory<O, SharedNearestNeighborIndex<O>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction
Constructor.
FractionalSharedNearestNeighborSimilarityFunction.Instance<T> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Actual instance for a dataset.
FractionalSharedNearestNeighborSimilarityFunction.Instance(Relation<T>, SharedNearestNeighborIndex<T>, FractionalSharedNearestNeighborSimilarityFunction<? super T>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Instance
Constructor.
FractionalSharedNearestNeighborSimilarityFunction.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Parameterization class.
FractionalSharedNearestNeighborSimilarityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Parameterizer
 
frame - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
The frame
frame - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI
The frame
frame - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable
Containing frame.
frequentItemsets(List<? extends Itemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Returns the frequent BitSets out of the given BitSets with respect to the given database.
FrequentItemsetsResult - Class in de.lmu.ifi.dbs.elki.result
Result class for Apriori Algorithm.
FrequentItemsetsResult(String, String, List<Itemset>, VectorFieldTypeInformation<BitVector>) - Constructor for class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult
Constructor.
frequentItemsetsSparse(List<SparseItemset>, Relation<BitVector>, int, DBIDs, ArrayModifiableDBIDs, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Returns the frequent BitSets out of the given BitSets with respect to the given database.
from(DBIDDataStore, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar
Update variable from a data store.
from(DBIDDataStore, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.BitVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.LabelList.Serializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Serializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorTypeSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DynamicSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.ShortSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.SmallSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.VariableSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ByteSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.DoubleSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.FloatSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.IntegerSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.LongSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ShortSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.StringSerializer
 
fromByteBuffer(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.VarintSerializer
Deprecated.
fromByteBuffer(ByteBuffer) - Method in interface de.lmu.ifi.dbs.elki.utilities.io.ByteBufferSerializer
Deserialize an object from a byte buffer (e.g. disk)
fromMinMax(double, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling
Make a linear scaling from a given minimum and maximum.
fromStream(BundleStreamSource) - Static method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
Convert an object stream to a bundle
FULL_WIKI_OUTPUT - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
Enable the full wiki output.
fulldatabase - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
The entire relation.
FullDatabaseReferencePoints - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints
Strategy to use the complete database as reference points.
FullDatabaseReferencePoints() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.FullDatabaseReferencePoints
Constructor, Parameterizable style.
FullProjection - Interface in de.lmu.ifi.dbs.elki.visualization.projections
Full vector space projections.
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
Perform a full redraw.
fullRedraw() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization
Request a full redrawing of the visualization.
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance
 
fullRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance
 
func - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Function to fit to
function(double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Computes the function value at alpha.
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ELKI Version 0.7.0

Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.