- 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
-
- 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
-
- 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
-
- 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
-
- findLabelColumn(BundleMeta) - Static method in class de.lmu.ifi.dbs.elki.datasource.filter.FilterUtil
-
- 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
-
- fireResultChanged(Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
-
- 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
-
- 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
.