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All Classes All Packages
All Classes All Packages
All Classes All Packages
U
- u - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull
-
Number of points in upper hull.
- u - Variable in class elki.math.linearalgebra.LinearEquationSystem
-
Holds the space of solutions of the homogeneous linear equation system.
- U - Variable in class elki.math.linearalgebra.SingularValueDecomposition
-
Arrays for internal storage of U and V.
- ubound - Variable in class elki.outlier.distance.HilOut.HilFeature
-
Upper bound for object
- uglyCastIntoSubclass(Class<D>) - Static method in class elki.utilities.ClassGenericsUtil
-
Cast the (erased) generics onto a class.
- UKMeans - Class in elki.clustering.uncertain
-
Uncertain K-Means clustering, using the average deviation from the center.
- UKMeans(int, int, RandomFactory) - Constructor for class elki.clustering.uncertain.UKMeans
-
Constructor.
- UKMeans.Par - Class in elki.clustering.uncertain
-
Parameterization class.
- umadapter - Variable in class elki.visualization.batikutil.JSVGUpdateSynchronizer
-
Adapter to track component changes
- UMAdapter() - Constructor for class elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter
-
Constructor.
- unboxVectors(List<? extends NumberVector>) - Static method in class elki.clustering.kmeans.initialization.AbstractKMeansInitialization
-
Unbox database means to primitive means.
- uncenteredCorrelation(double[], double[]) - Static method in class elki.distance.correlation.UncenteredCorrelationDistance
-
Compute the uncentered correlation of two vectors.
- uncenteredCorrelation(NumberVector, NumberVector) - Static method in class elki.distance.correlation.UncenteredCorrelationDistance
-
Compute the uncentered correlation of two vectors.
- UncenteredCorrelationDistance - Class in elki.distance.correlation
-
Uncentered correlation distance.
- UncenteredCorrelationDistance() - Constructor for class elki.distance.correlation.UncenteredCorrelationDistance
-
Deprecated.Use static instance!
- UncenteredCorrelationDistance.Par - Class in elki.distance.correlation
-
Parameterization class.
- UNCERTAIN_OBJECT_FIELD - Static variable in interface elki.data.uncertain.UncertainObject
-
Uncertain objects.
- UncertainBoundingBoxVisualization - Class in elki.visualization.visualizers.scatterplot.uncertain
-
Visualize uncertain objects by their bounding box.
- UncertainBoundingBoxVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization
-
Constructor.
- UncertainBoundingBoxVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.uncertain
-
Instance.
- Uncertainifier<UO extends UncertainObject> - Interface in elki.data.uncertain.uncertainifier
-
Class to derive uncertain object from exact vectors.
- UncertainifyFilter<UO extends UncertainObject> - Class in elki.datasource.filter.typeconversions
-
Filter class to transform a database containing vector fields into a database containing
UncertainObjectfields by invoking aUncertainifieron each vector. - UncertainifyFilter(Uncertainifier<UO>, boolean, RandomFactory) - Constructor for class elki.datasource.filter.typeconversions.UncertainifyFilter
-
Constructor.
- UncertainifyFilter.Par<UO extends UncertainObject> - Class in elki.datasource.filter.typeconversions
-
Parameterization class.
- UncertainInstancesVisualization - Class in elki.visualization.visualizers.scatterplot.uncertain
-
Visualize a single derived sample from an uncertain database.
- UncertainInstancesVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization
-
Constructor.
- UncertainInstancesVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.uncertain
-
Instance.
- UNCERTAINITY_MODEL_ID - Static variable in class elki.datasource.filter.typeconversions.UncertainifyFilter.Par
-
Parameter to specify the uncertainityModel used for the uncertainification.
- UncertainObject - Interface in elki.data.uncertain
-
Interface for uncertain objects.
- UncertainSamplesVisualization - Class in elki.visualization.visualizers.scatterplot.uncertain
-
Visualize uncertain objects by multiple samples.
- UncertainSamplesVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization
-
Constructor.
- UncertainSamplesVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.uncertain
-
Instance.
- UncertainSplitFilter - Class in elki.datasource.filter.typeconversions
-
Filter to transform a single vector into a set of samples to interpret as uncertain observation.
- UncertainSplitFilter(int) - Constructor for class elki.datasource.filter.typeconversions.UncertainSplitFilter
-
Constructor.
- UncertainSplitFilter.Par - Class in elki.datasource.filter.typeconversions
-
Parameterization class.
- unclaimedids - Variable in class elki.clustering.optics.OPTICSXi.ClusterHierarchyBuilder
-
Unclaimed objects that will be assigned to a top level or noise cluster in the end.
- UNCLUSTERED - Static variable in class elki.evaluation.clustering.pairsegments.Segment
-
Object is not clustered
- UNCONSTR - elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.DimensionState
- UNDEFINED_DISTANCE - Static variable in class elki.clustering.optics.FastOPTICS
-
undefined value for (reachability/average) distance
- unflip(int) - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
- unhomogeneRelativeVector(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
-
Project an homogeneous vector back into the original space.
- unhomogeneVector(double[]) - Method in class elki.math.linearalgebra.AffineTransformation
-
Project an homogeneous vector back into the original space.
- UNIFORM - elki.datasource.filter.transform.PerturbationFilter.NoiseDistribution
- UniformContinuousUncertainObject - Class in elki.data.uncertain
-
Continuous uncertain object model using a uniform distribution on the bounding box.
- UniformContinuousUncertainObject(SpatialComparable) - Constructor for class elki.data.uncertain.UniformContinuousUncertainObject
-
Constructor.
- UniformContinuousUncertainObject.Factory - Class in elki.data.uncertain
-
Factory class for this data type.
- UniformDistribution - Class in elki.math.statistics.distribution
-
Uniform distribution.
- UniformDistribution(double, double) - Constructor for class elki.math.statistics.distribution.UniformDistribution
-
Constructor for a uniform distribution on the interval [min, max[
- UniformDistribution.Par - Class in elki.math.statistics.distribution
-
Parameterization class
- UniformEnhancedMinMaxEstimator - Class in elki.math.statistics.distribution.estimator
-
Slightly improved estimation, that takes sample size into account and enhances the interval appropriately.
- UniformEnhancedMinMaxEstimator() - Constructor for class elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator
-
Constructor.
- UniformEnhancedMinMaxEstimator.Par - Class in elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformKernelDensityFunction - Class in elki.math.statistics.kernelfunctions
-
Uniform / Rectangular kernel density estimator.
- UniformKernelDensityFunction() - Constructor for class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
-
Private, empty constructor.
- UniformKernelDensityFunction.Par - Class in elki.math.statistics.kernelfunctions
-
Parameterization stub.
- UniformLMMEstimator - Class in elki.math.statistics.distribution.estimator
-
Estimate the parameters of a normal distribution using the method of L-Moments (LMM).
- UniformLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.UniformLMMEstimator
-
Constructor.
- UniformLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformMADEstimator - Class in elki.math.statistics.distribution.estimator
-
Estimate Uniform distribution parameters using Median and MAD.
- UniformMADEstimator() - Constructor for class elki.math.statistics.distribution.estimator.UniformMADEstimator
-
Private constructor, use static instance!
- UniformMADEstimator.Par - Class in elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformMinMaxEstimator - Class in elki.math.statistics.distribution.estimator
-
Estimate the uniform distribution by computing min and max.
- UniformMinMaxEstimator() - Constructor for class elki.math.statistics.distribution.estimator.UniformMinMaxEstimator
-
Constructor.
- UniformMinMaxEstimator.Par - Class in elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformUncertainifier - Class in elki.data.uncertain.uncertainifier
-
Factory class.
- UniformUncertainifier(double, double, boolean) - Constructor for class elki.data.uncertain.uncertainifier.UniformUncertainifier
-
Constructor.
- UniformUncertainifier.Par - Class in elki.data.uncertain.uncertainifier
-
Parameterizer class.
- unifySegment(Segment) - Method in class elki.evaluation.clustering.pairsegments.Segments
- union - Variable in class elki.itemsetmining.associationrules.AssociationRule
-
Union of consequent and consequent
- union(int, int) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger
-
Join the components of elements p and q.
- union(SpatialComparable, SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil
-
Computes the union HyperBoundingBox of two SpatialComparables.
- union(DBIDRef, DBIDRef) - Method in interface elki.utilities.datastructures.unionfind.UnionFind
-
Join the components of elements p and q.
- union(DBIDRef, DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
- union(DBIDRef, DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
- union(DBIDs, DBIDs) - Static method in class elki.database.ids.DBIDUtil
-
Returns the union of the two specified collection of IDs.
- union(Relation<? extends NumberVector>, ORCLUS.ORCLUSCluster, ORCLUS.ORCLUSCluster, int) - Method in class elki.clustering.correlation.ORCLUS
-
Returns the union of the two specified clusters.
- unionDBIDs(DBIDs[], int, int) - Method in class elki.clustering.subspace.P3C
-
Compute the union of multiple DBID sets.
- UnionFind - Interface in elki.utilities.datastructures.unionfind
-
Union-find implementations in ELKI, for DBID objects.
- UnionFindUtil - Class in elki.utilities.datastructures.unionfind
-
Union-find algorithm factory, to choose the best implementation.
- UnionFindUtil() - Constructor for class elki.utilities.datastructures.unionfind.UnionFindUtil
-
Private constructor.
- unionSize(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil
-
Compute the union size of two Bitsets.
- unionSize(long, long) - Static method in class elki.utilities.datastructures.BitsUtil
-
Compute the union size of two Bitsets.
- unionSize(BitVector) - Method in class elki.data.BitVector
-
Compute the vector union size.
- unionTolerant(SpatialComparable, SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil
-
Returns the union of the two specified MBRs.
- unique - Variable in class elki.datasource.parser.CategorialDataAsNumberVectorParser
-
For String unification.
- unique - Variable in class elki.datasource.parser.NumberVectorLabelParser
-
For String unification.
- UNITCUBE - elki.datasource.filter.transform.PerturbationFilter.ScalingReference
- unitMatrix(int) - Static method in class elki.math.linearalgebra.VMath
-
Returns the unit / identity / "eye" matrix of the specified dimension.
- unitVector(int, int) - Static method in class elki.math.linearalgebra.VMath
-
Returns the ith unit vector of the specified dimensionality.
- univariateStandardization(double[]) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
- UNIX_NEWLINE - Static variable in class elki.logging.OutputStreamLogger
-
Unix newline
- UnmodifiableDBIDIter(IntegerDBIDIter) - Constructor for class elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
-
Constructor.
- UnmodifiableIntegerArrayDBIDs - Class in elki.database.ids.integer
-
Unmodifiable wrapper for DBIDs.
- UnmodifiableIntegerArrayDBIDs(IntegerArrayDBIDs) - Constructor for class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
-
Constructor.
- UnmodifiableIntegerArrayDBIDs.Itr - Class in elki.database.ids.integer
-
Make an existing DBIDMIter unmodifiable.
- UnmodifiableIntegerDBIDs - Class in elki.database.ids.integer
-
Unmodifiable wrapper for DBIDs.
- UnmodifiableIntegerDBIDs(IntegerDBIDs) - Constructor for class elki.database.ids.integer.UnmodifiableIntegerDBIDs
-
Constructor.
- UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter - Class in elki.database.ids.integer
-
Make an existing DBIDMIter unmodifiable.
- unorderedIter() - Method in class elki.utilities.datastructures.heap.Heap
-
Get an unordered heap iterator.
- UnorderedIter() - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDHeap.UnorderedIter
- UnorderedIter() - Constructor for class elki.utilities.datastructures.heap.Heap.UnorderedIter
-
Constructor.
- UnorderedIter(DoubleDBIDIter) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter
-
Constructor.
- unorderedIterator() - Method in interface elki.database.ids.DoubleDBIDHeap
-
Unordered iterator over the heap.
- unorderedIterator() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
- unorderedIterator() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
- UnParameterization - Class in elki.utilities.optionhandling.parameterization
-
Parameterization handler that doesn't set any parameters.
- UnParameterization() - Constructor for class elki.utilities.optionhandling.parameterization.UnParameterization
- UNPROCESSED - Static variable in class elki.clustering.dbscan.GeneralizedDBSCAN.Instance
-
Unprocessed IDs
- UNPROCESSED - Static variable in class elki.clustering.dbscan.GriDBSCAN.Instance
-
Unprocessed IDs.
- UNPROCESSED - Static variable in class elki.clustering.dbscan.LSDBC
-
Constants used internally.
- unproject(double, double, double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera
-
Unproject a screen coordinate (at depth 0) to 3D model coordinates.
- unproject(double, double, double, double[]) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera
-
Unproject a screen coordinate (at depth 0) to 3D model coordinates.
- unqueue(ThumbnailThread.Task) - Static method in class elki.visualization.visualizers.thumbs.ThumbnailThread
-
Remove a pending task from the queue.
- unselectedObjects - Variable in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
-
Not selected IDs that will be drawn in default colors.
- unset() - Method in interface elki.database.ids.DBIDVar
-
Clear the contents.
- unset() - Method in class elki.database.ids.integer.IntegerDBIDVar
- unsetEpsilon() - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
-
Reset the epsilon value.
- unshrink - Variable in class elki.svm.solver.Solver
- unsortedIter() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.DoubleHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.IntegerHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
- unsortedIter() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
- unsortedIter() - Method in interface elki.utilities.datastructures.heap.ObjectHeap
-
Get an unsorted iterator to inspect the heap.
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter
- UnsortedIter() - Constructor for class elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter
- UnspecifiedParameterException - Exception in elki.utilities.optionhandling
-
Exception when a required parameter was not given.
- UnspecifiedParameterException(Parameter<?>) - Constructor for exception elki.utilities.optionhandling.UnspecifiedParameterException
-
Constructor with missing Parameter
- unstandardized(double[][]) - Method in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
Compute the non-standardized A2 test statistic for the k-samples test.
- unstandardized(double[][], int) - Method in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
Compute the non-standardized A2 test statistic for the k-samples test.
- unstandardized(double[], double[]) - Method in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
Compute the non-standardized A2 test statistic for the k-samples test.
- UnsynchronizedLongCounter - Class in elki.logging.statistics
-
Class to count events in a thread-safe counter.
- UnsynchronizedLongCounter(String) - Constructor for class elki.logging.statistics.UnsynchronizedLongCounter
-
Constructor.
- unsynchronizeWith(UpdateSynchronizer) - Method in class elki.visualization.svg.SVGPlot
-
Detach from synchronization.
- unsynchronizeWith(UpdateSynchronizer) - Method in class elki.visualization.svg.UpdateRunner
-
Remove an update synchronizer
- UnweightedDiscreteUncertainifier - Class in elki.data.uncertain.uncertainifier
-
Class to generate unweighted discrete uncertain objects.
- UnweightedDiscreteUncertainifier(Uncertainifier<?>, int, int) - Constructor for class elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier
-
Constructor.
- UnweightedDiscreteUncertainifier.Par - Class in elki.data.uncertain.uncertainifier
-
Parameterization class.
- UnweightedDiscreteUncertainObject - Class in elki.data.uncertain
-
Unweighted implementation of discrete uncertain objects.
- UnweightedDiscreteUncertainObject(DoubleVector[]) - Constructor for class elki.data.uncertain.UnweightedDiscreteUncertainObject
-
Constructor.
- UnweightedDiscreteUncertainObject.Factory - Class in elki.data.uncertain
-
Factory class for this data type.
- UnweightedNeighborhoodAdapter - Class in elki.outlier.spatial.neighborhood.weighted
-
Adapter to use unweighted neighborhoods in an algorithm that requires weighted neighborhoods.
- UnweightedNeighborhoodAdapter(NeighborSetPredicate) - Constructor for class elki.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter
-
Constructor.
- UnweightedNeighborhoodAdapter.Factory<O> - Class in elki.outlier.spatial.neighborhood.weighted
-
Factory class
- UP - elki.visualization.svg.SVGArrow.Direction
- UpdatableDatabase - Interface in elki.database
-
Database API with updates.
- UpdatableHeap<O> - Class in elki.utilities.datastructures.heap
-
A heap as used in OPTICS that allows updating entries.
- UpdatableHeap() - Constructor for class elki.utilities.datastructures.heap.UpdatableHeap
-
Simple constructor with default size.
- UpdatableHeap(int) - Constructor for class elki.utilities.datastructures.heap.UpdatableHeap
-
Constructor with predefined size.
- UpdatableHeap(int, Comparator<? super O>) - Constructor for class elki.utilities.datastructures.heap.UpdatableHeap
-
Constructor with predefined size and comparator.
- UpdatableHeap(Comparator<? super O>) - Constructor for class elki.utilities.datastructures.heap.UpdatableHeap
-
Constructor with comparator.
- update() - Method in class elki.gui.minigui.MiniGUI.SettingsComboboxModel
-
Force an update.
- update() - Method in class elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel
-
Force an update
- update() - Method in class elki.visualization.gui.ResultWindow
-
Refresh the overview
- update(Border) - Method in class elki.clustering.dbscan.util.MultiBorder
-
Add a new border to the existing borders.
- update(Object) - Method in class elki.workflow.EvaluationStep.Evaluation
-
Update on a particular result.
- UPDATE - elki.database.DatabaseEventManager.Type
- update_alpha_status(int) - Method in class elki.svm.solver.Solver
- update_G(int, int, double, double) - Method in class elki.svm.solver.Solver
- update_G_bar(double, float[]) - Method in class elki.svm.solver.Solver
- updateAssignment(double[][], double[][], int[]) - Method in class elki.clustering.affinitypropagation.AffinityPropagation
-
Update the cluster assignment.
- updateAssignment(ArrayModifiableDBIDs, DBIDArrayIter, DBIDRef, int) - Method in class elki.clustering.kmedoids.FastPAM1.Instance
-
Update an existing cluster assignment.
- updateAssignment(DBIDIter, List<? extends ModifiableDBIDs>, WritableIntegerDataStore, int) - Method in class elki.clustering.uncertain.UKMeans
-
Update the cluster assignment.
- updateAvailabilities(double[][], double[][]) - Method in class elki.clustering.affinitypropagation.AffinityPropagation
-
Update availability matrix
- updateBounds(double[]) - Method in class elki.clustering.kmeans.HamerlyKMeans.Instance
-
Update the bounds for k-means.
- updateBounds(double[]) - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance
-
Update the bounds for k-means.
- updateBounds(double[]) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance
-
Update the bounds for k-means.
- updateBounds(double[]) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
-
Update the bounds for k-means.
- updateBounds(double[]) - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance
-
Update the bounds for k-means.
- updateBounds(double[]) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance
-
Update the bounds for k-means.
- updateBounds(double[]) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance
-
Update the bounds for k-means.
- updateCache(double[], double[], int[], int, int, int, double) - Static method in class elki.clustering.hierarchical.Anderberg.Instance
-
Update the cache.
- updateCenters() - Method in class elki.clustering.kmeans.YinYangKMeans.Instance
-
Update centers and how much they moved.
- updateCholesky(double[][], CholeskyDecomposition) - Static method in class elki.clustering.em.models.MultivariateGaussianModel
-
Update the cholesky decomposition.
- updateCircumcircle(List<double[]>) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle
-
Recompute the location and squared radius of circumcircle.
- updateCoreBorderObjects(int) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance
-
Update the shared arrays for core points (to conserve memory)
- updateDB(DBIDs, double[]) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
-
Updates the objects with the given DBIDs It will be moved depending on the given Vector
- updateDensities(WritableDoubleDataStore, DoubleDBIDList) - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection
-
Update the density estimates for each object.
- updateDistances(Relation<V>, double[][], WritableDataStore<SameSizeKMeans.Meta>, NumberVectorDistance<? super V>) - Method in class tutorial.clustering.SameSizeKMeans
-
Compute the distances of each object to all means.
- updateE(double[], double[][], double, double) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
-
Add a set of points with covariance information, for
KDTreeEM. - updateE(NumberVector, double) - Method in class elki.clustering.em.models.DiagonalGaussianModel
- updateE(NumberVector, double) - Method in class elki.clustering.em.models.MultivariateGaussianModel
- updateE(NumberVector, double) - Method in class elki.clustering.em.models.SphericalGaussianModel
- updateE(NumberVector, double) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
- updateE(NumberVector, double) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
- updateE(NumberVector, double) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
-
Second pass: compute the covariance matrix.
- updateE(ClusterFeature, double) - Method in interface elki.clustering.em.models.BetulaClusterModel
-
Process one clustering feature in the E step.
- updateE(ClusterFeature, double) - Method in class elki.clustering.em.models.DiagonalGaussianModel
- updateE(ClusterFeature, double) - Method in class elki.clustering.em.models.MultivariateGaussianModel
- updateE(ClusterFeature, double) - Method in class elki.clustering.em.models.SphericalGaussianModel
- updateE(O, double) - Method in interface elki.clustering.em.models.EMClusterModel
-
Process one data point in the E step
- updateEigenvector(double[], double[], double) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
-
Compute the change in the eigenvector, and normalize the output vector while doing so.
- updateEntry(int, int) - Method in class elki.clustering.hierarchical.HACAM.Instance
-
Update entry at x,y for distance matrix distances
- updateEntry(int, int) - Method in class elki.clustering.hierarchical.MiniMax.Instance
-
Update entry at x,y for distance matrix distances
- updateEstimations(int[], int, double[], double[]) - Method in class elki.application.greedyensemble.GreedyEnsembleExperiment
- updateEvent(DBIDs) - Static method in class elki.database.datastore.DataStoreEvent
-
Update event.
- updateFilterSDASet(double, List<OPTICSXi.SteepDownArea>, double) - Static method in class elki.clustering.optics.OPTICSXi
-
Update the mib values of SteepDownAreas, and remove obsolete areas.
- UpdateFlag(int) - Constructor for enum elki.visualization.VisualizationTask.UpdateFlag
-
Constructor.
- updateFromSelection() - Method in class elki.visualization.gui.SelectionTableWindow
-
Update our selection
- updateFromTrackParameters(TrackParameters) - Method in class elki.gui.util.DynamicParameters
-
Update the Parameter list from the collected options of an ELKI context
- updateGroupAssignment(int, double[][], int[]) - Method in class elki.clustering.kmeans.YinYangKMeans.Instance
-
Perform one step of Voronoi refinement.
- updateInverse() - Method in class elki.math.linearalgebra.AffineTransformation
-
Compute the inverse transformation matrix
- updateKNNsAfterDeletion(DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
-
Updates the kNNs of the RkNNs of the specified ids.
- updateKNNsAfterInsertion(DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
-
Updates the kNNs of the RkNNs of the specified ids.
- updateKNNsAndRkNNs(DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
-
Updates the kNNs and RkNNs after insertion of the specified ids.
- updatemask - Variable in class elki.visualization.VisualizationTask
-
The update event mask.
- updateMatrices(int) - Method in class elki.clustering.hierarchical.MiniMax.Instance
-
Update the entries of the matrices that contain a distance to c, the newly merged cluster.
- updateMatrices(int, int) - Method in class elki.clustering.hierarchical.HACAM.Instance
-
Update the entries of the matrices that contain a distance to y, the newly merged cluster.
- updateMatrices(int, int) - Method in class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
-
Update the entries of the matrices that contain a distance to y, the newly merged cluster.
- updateMatrix(double[][], double[], double) - Method in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform
-
Update matrix, by removing the effects of a known Eigenvector.
- updateMatrix(double, int, int, int, int) - Method in class elki.clustering.hierarchical.AGNES.Instance
-
Update the scratch distance matrix.
- updateMatrix(double, int, int, int, int) - Method in class elki.clustering.hierarchical.Anderberg.Instance
- updateMatrix(int, int) - Method in class elki.clustering.hierarchical.MedoidLinkage.Instance
-
Update the scratch distance matrix.
- updateMeanAndAssignment(int, NumberVector, DBIDIter) - Method in class elki.clustering.kmeans.MacQueenKMeans.Instance
-
Try to update the cluster assignment.
- updateMeans(Relation<V>, WritableDataStore<double[]>, double[][], int) - Method in class elki.clustering.kmeans.FuzzyCMeans
-
Updates the means according to the weighted means of all data points.
- updateMeta() - Method in class elki.datasource.filter.cleaning.VectorDimensionalityFilter
-
Update metadata.
- updateMeta(BundleMeta) - Method in class elki.datasource.filter.cleaning.DropNaNFilter
-
Process an updated meta record.
- updateMeta(BundleMeta) - Method in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
-
Process an updated meta record.
- updateMinMax() - Method in class elki.utilities.datastructures.range.CombinedIntGenerator
-
Compute the minimum and maximum.
- updateMinMax() - Method in class elki.utilities.datastructures.range.StaticIntGenerator
-
Compute the minimum and maximum.
- updateMinMax(NumberVector, double[], double[]) - Method in class elki.clustering.subspace.CLIQUE
-
Updates the minima and maxima array according to the specified feature vector.
- updateNames() - Method in class elki.result.textwriter.naming.SimpleEnumeratingScheme
-
Assign names to each cluster (which doesn't have a name yet)
- updateOUT(int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
-
updateOUT function inserts pf[i] in out.
- updateParameterTable() - Method in class elki.gui.minigui.MiniGUI
-
Serialize the parameter table and run setParameters().
- updateParameterTable() - Method in class elki.gui.multistep.panels.ParameterTabPanel
-
Serialize the parameter table and run setParameters()
- updatePriorCost(double[]) - Method in class elki.clustering.kmedoids.FastPAM1.Instance
-
Prior assignment costs.
- updateProgressBar(Progress, JProgressBar) - Method in class elki.gui.util.LogPanel
-
Update a progress bar
- updateQueue - Variable in class elki.visualization.gui.VisualizationPlot
-
Update queue.
- updateRemovalLoss(double[]) - Method in class elki.clustering.silhouette.FastMSC.Instance
-
Update the share removal loss data
- updateResponsibilities(double[][], double[][], double[][]) - Method in class elki.clustering.affinitypropagation.AffinityPropagation
-
Update the responsibility matrix
- updateRowAndColumnMeans(double[][], boolean) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate
-
Update the row means and column means.
- updaterunner - Variable in class elki.visualization.batikutil.JSVGUpdateSynchronizer
-
The UpdateRunner we are put into
- UpdateRunner - Class in elki.visualization.svg
-
Class to handle updates to an SVG plot, in particular when used in an Apache Batik UI.
- UpdateRunner(Object) - Constructor for class elki.visualization.svg.UpdateRunner
-
Construct a new update handler
- updates - Variable in class elki.database.datastore.DataStoreEvent
-
Updates.
- updates - Variable in class elki.index.preprocessed.knn.KNNChangeEvent
-
The ids of the kNNs that were updated due to the insertion or removals of objects.
- updateSecondNearest(DBIDRef, DBIDArrayIter, int, double, int) - Method in class elki.clustering.kmedoids.FastPAM1.Instance
-
Find the second nearest medoid.
- updateSelection(Projection, SVGPoint, SVGPoint) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
-
Update the selection in the context.
- updateSelection(OPTICSPlotSelectionVisualization.Mode, int, int) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
-
Updates the selection for the given ClusterOrderEntry.
- updateSelection(SelectionToolLineVisualization.Mode, SVGPoint, SVGPoint) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
-
Updates the selection in the context.
- updateSelection(SelectionToolDotVisualization.Mode, Projection2D, SVGPoint, SVGPoint) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
-
Updates the selection in the context.
- updateSelection(SilhouettePlotSelectionToolVisualization.Mode, int, int) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
-
Updates the selection for the given ClusterOrderEntry.
- updateSelection(SVGPoint, SVGPoint) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
-
Update the selection in the context.
- updateSelectionRectKoordinates(double, double, double, double, ModifiableHyperBoundingBox) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
-
Set the selected ranges and the mask for the actual dimensions in the context
- updateSelectionRectKoordinates(double, double, double, double, ModifiableHyperBoundingBox) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
-
Set the selected ranges and the mask for the actual dimensions in the context.
- updateSizes(DBIDs, WritableDataStore<ModifiableDBIDs>, WritableIntegerDataStore) - Method in class elki.outlier.DWOF
-
This method updates each object's cluster size after the clustering step.
- updateSolution(double[][], double[], int) - Method in class elki.projection.SNE
-
Update the current solution on iteration.
- updateSolution(double[][], double[], int) - Method in class elki.projection.TSNE
-
Update the current solution on iteration.
- updateStars() - Method in class elki.utilities.datastructures.KuhnMunkres
-
Update the position of stars.
- updateStars() - Method in class elki.utilities.datastructures.KuhnMunkresWong
-
Update the position of stars.
- updateStatus() - Method in class elki.gui.multistep.panels.ParameterTabPanel
-
Invoked to update the UI when the status could have changed.
- updateStyleElement() - Method in class elki.visualization.svg.SVGPlot
-
Update style element - invoke this appropriately after any change to the CSS styles.
- updateStyleElement(Document, Element) - Method in class elki.visualization.css.CSSClassManager
-
Update the text contents of an existing style element.
- UpdateSynchronizer - Interface in elki.visualization.svg
-
API to synchronize updates
- updateThirdNearest(DBIDRef, FastMSC.Record, int, double, DBIDArrayIter) - Method in class elki.clustering.silhouette.FastMSC.Instance
-
Update the third nearest in the record.
- updateVisualizerMenus() - Method in class elki.visualization.gui.ResultWindow.DynamicMenu
-
Update the visualizer menus.
- updateVisualizerMenus() - Method in class elki.visualization.gui.ResultWindow
-
Update visualizer menus, but only from Swing thread.
- updateWeights(double[], double[][]) - Method in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus
-
Update the weight list.
- updateWeights(NumberVector) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance
-
Update the weight list.
- updateWeights(ClusterFeature, List<? extends AsClusterFeature>, double[]) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves
-
Update the weight list.
- updateWeights(T) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance
-
Update the weight list.
- updateWLB(int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures
-
updateWLB function inserts pf[i] in wlb.
- UPLIM - elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.DimensionState
- upper - Variable in class elki.clustering.kmeans.HamerlyKMeans.Instance
-
Upper bounds
- upper - Variable in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance
-
Upper bounds
- upper - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance
-
Upper bounds
- upper - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
-
Upper bounds
- upper - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance
-
Upper bound
- UPPER_BOUND - Static variable in class elki.svm.solver.Solver
- upper_bound_n - Variable in class elki.svm.solver.Solver.SolutionInfo
- upper_bound_p - Variable in class elki.svm.solver.Solver.SolutionInfo
- upperBound - Variable in class elki.index.tree.metrical.vptree.GNAT.Node
-
upper and lower distance bound for the other subtrees; lowerBound[vp][child] is distance Bound from vp to child
- upperBoundMI() - Method in class elki.evaluation.clustering.Entropy
-
Get an upper bound for the mutual information (for scaling).
- upperBoundVI() - Method in class elki.evaluation.clustering.Entropy
-
Get an upper bound for the VI (for scaling).
- upperHull - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull
-
The upper hull.
- upsorted - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
-
"side effect" sorting positions
- url() - Method in annotation type elki.utilities.documentation.Reference
-
Reference URL, e.g., DOI.
- usage - Variable in class elki.visualization.gui.overview.RectangleArranger
-
Map indicating which cells are used.
- usage(Collection<TrackedParameter>) - Static method in class elki.application.AbstractApplication
-
Returns a usage message, explaining all known options
- used - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger
-
Number of used indexes.
- used - Variable in class elki.utilities.optionhandling.parameterization.MergedParameterization
-
Parameters to rewind.
- usegzip - Variable in class elki.result.textwriter.MultipleFilesOutput
-
Control gzip compression of output.
- useinverted - Variable in class elki.clustering.biclustering.ChengAndChurch
-
Allow inversion of rows in the last phase.
- useMarker(SVGPlot, double, double, int, double) - Method in interface elki.visualization.style.marker.MarkerLibrary
-
Insert a marker at the given coordinates.
- useMarker(SVGPlot, double, double, int, double, double) - Method in class elki.visualization.style.marker.CircleMarkers
- useMarker(SVGPlot, double, double, int, double, double) - Method in interface elki.visualization.style.marker.MarkerLibrary
-
Insert a soft marker at the given coordinates.
- useMarker(SVGPlot, double, double, int, double, double) - Method in class elki.visualization.style.marker.MinimalMarkers
- useMarker(SVGPlot, double, double, int, double, double) - Method in class elki.visualization.style.marker.PrettyMarkers
- usemean - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
-
Use the mean for scaling
- usemean - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling
-
Use the mean for scaling
- USER - Static variable in annotation type elki.utilities.Priority
-
Users are suggested to use this, so their own extensions show up at the top.
- usim - Variable in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance
-
Similarity upper bound.
- usim - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance
-
Similarity upper bound.
- usim - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance
-
Similarity upper bound.
- ustart - Variable in class elki.datasource.parser.CategorialDataAsNumberVectorParser
-
Base for enumerating unique values.
- Util - Class in elki.utilities
-
This class collects various static helper methods.
- Util() - Constructor for class elki.index.tree.spatial.kd.split.SplitStrategy.Util
-
Private constructor.
- Util() - Constructor for class elki.utilities.Util
-
Fake constructor: do not instantiate.
- Utils() - Constructor for class elki.Algorithm.Utils
-
Static utility class.
- Utils() - Constructor for class elki.math.statistics.dependence.Dependence.Utils
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