- u - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull
-
Number of points in upper hull.
- u - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
-
Holds the space of solutions of the homogeneous linear equation system.
- U - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition
-
Arrays for internal storage of U and V.
- ubound - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature
-
Upper bound for object
- uglyCastIntoSubclass(Class<D>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
Cast the (erased) generics onto a class.
- uglyCrossCast(Class<FROM>, Class<BASE>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
-
This class performs an ugly cast, from Class<F>
to
Class<T>
, where both F and T need to extend B.
- UKMeans - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
-
Uncertain K-Means clustering, using the average deviation from the center.
- UKMeans(int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans
-
Constructor.
- UKMeans.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
-
Parameterization class.
- UKMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans.Parameterizer
-
- UnableToComplyException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions
-
General Exception to state inability to execute an operation.
- UnableToComplyException() - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.UnableToComplyException
-
Exception to state inability to execute an operation.
- UnableToComplyException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.UnableToComplyException
-
Exception to state inability to execute an operation.
- UnableToComplyException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.UnableToComplyException
-
Exception to state inability to execute an operation.
- UnableToComplyException(Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.UnableToComplyException
-
Exception to state inability to execute an operation.
- uncenteredCorrelation(NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction
-
Compute the uncentered correlation of two vectors.
- UncenteredCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
Uncentered correlation distance.
- UncenteredCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction
-
Deprecated.
Use static instance!
- UncenteredCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
Parameterization class.
- UncenteredCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction.Parameterizer
-
- UNCERTAIN_OBJECT_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Uncertain objects.
- Uncertainifier<UO extends UncertainObject> - Interface in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
-
Class to derive uncertain object from exact vectors.
- UncertainifyFilter<UO extends UncertainObject> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions
-
Filter class to transform a database containing vector fields (TODO I need to
express this more correctly) into a database containing
UncertainObject
fields.
- UncertainifyFilter(Uncertainifier<UO>, boolean, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter
-
Constructor.
- UncertainifyFilter.Parameterizer<UO extends UncertainObject> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions
-
Parameterization class.
- UncertainifyFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter.Parameterizer
-
- UNCERTAINITY_MODEL_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter.Parameterizer
-
Parameter to specify the uncertainityModel used for the
uncertainification.
- UncertainObject - Interface in de.lmu.ifi.dbs.elki.data.uncertain
-
Interface for uncertain objects.
- UncertainSplitFilter - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter
-
Constructor.
- UncertainSplitFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions
-
Parameterization class.
- UncertainSplitFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter.Parameterizer
-
- UNCLUSTERED - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
-
Object is not clustered
- UNDEFINED_DISTANCE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS
-
undefined value for (reachability/average) distance
- unhomogeneRelativeVector(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
-
Project an homogeneous vector back into the original space.
- unhomogeneRelativeVector(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
-
Project an homogeneous vector back into the original space.
- unhomogeneVector(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
-
Project an homogeneous vector back into the original space.
- unhomogeneVector(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
-
Project an homogeneous vector back into the original space.
- UniformContinuousUncertainObject - Class in de.lmu.ifi.dbs.elki.data.uncertain
-
Continuous uncertain object model using a uniform distribution on the
bounding box.
- UniformContinuousUncertainObject(SpatialComparable) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.UniformContinuousUncertainObject
-
Constructor.
- UniformContinuousUncertainObject.Factory - Class in de.lmu.ifi.dbs.elki.data.uncertain
-
Factory class for this data type.
- UniformContinuousUncertainObject.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.UniformContinuousUncertainObject.Factory
-
- UniformDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Uniform distribution.
- UniformDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
-
Constructor for a uniform distribution on the interval [min, max[
- UniformDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
-
Constructor for a uniform distribution on the interval [min, max[
- UniformDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
-
Constructor for a uniform distribution on the interval [min, max[
- UniformDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Parameterization class
- UniformDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer
-
- UniformEnhancedMinMaxEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Slightly improved estimation, that takes sample size into account and
enhances the interval appropriately.
- UniformEnhancedMinMaxEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator
-
Constructor.
- UniformEnhancedMinMaxEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformEnhancedMinMaxEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator.Parameterizer
-
- UniformKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
-
Uniform / Rectangular kernel density estimator.
- UniformKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
-
Private, empty constructor.
- UniformKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
-
Parameterization stub.
- UniformKernelDensityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction.Parameterizer
-
- UniformLMMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Estimate the parameters of a normal distribution using the method of
L-Moments (LMM).
- UniformLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformLMMEstimator
-
Constructor.
- UniformLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformLMMEstimator.Parameterizer
-
- UniformMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Estimate Uniform distribution parameters using Median and MAD.
- UniformMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMADEstimator
-
Private constructor, use static instance!
- UniformMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMADEstimator.Parameterizer
-
- UniformMinMaxEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Estimate the uniform distribution by computing min and max.
- UniformMinMaxEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMinMaxEstimator
-
Constructor.
- UniformMinMaxEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
-
Parameterization class.
- UniformMinMaxEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMinMaxEstimator.Parameterizer
-
- UniformUncertainifier - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
-
Factory class.
- UniformUncertainifier(double, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier
-
Constructor.
- UniformUncertainifier.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
-
Parameterizer class.
- UniformUncertainifier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer
-
- unifySegment(Segment) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
-
- union(Relation<V>, DistanceQuery<V>, ORCLUS<V>.ORCLUSCluster, ORCLUS<V>.ORCLUSCluster, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
-
Returns the union of the two specified clusters.
- union(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
-
Computes the union HyperBoundingBox of two SpatialComparables.
- union(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
-
Returns the union of the two specified collection of IDs.
- union(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFind
-
Join the components of elements p and q.
- union(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger
-
Join the components of elements p and q.
- union(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
-
- union(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
-
- unionDBIDs(DBIDs[], int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
-
Compute the union of multiple DBID sets.
- UnionFind - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind
-
Union-find implementations in ELKI, for DBID objects.
- UnionFindUtil - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind
-
Union-find algorithm factory, to choose the best implementation.
- UnionFindUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFindUtil
-
- unionFlatMBR(A, ArrayAdapter<E, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
-
Compute the union of a number of objects as a flat MBR (low-level, for
index structures).
- unionSize(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
-
Compute the vector union size.
- unionSize(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Compute the union size of two Bitsets.
- unionSize(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
Compute the union size of two Bitsets.
- unionTolerant(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
-
Returns the union of the two specified MBRs.
- unique - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
-
For String unification.
- unique - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
For String unification.
- Unique<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hash
-
This hash set is designed to keep only a unique copy of each object (hence
its name).
- Unique() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique
-
Constructor with default size and load factors.
- Unique(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique
-
Constructor with desired initial size.
- Unique(int, float) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique
-
Constructor with desired initial size, and with the specified load factor.
- unitMatrix(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
Returns the unit matrix of the specified dimension.
- unitMatrix(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Returns the unit matrix of the specified dimension.
- unitVector(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
-
Returns the ith unit vector of the specified dimensionality.
- unitVector(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Returns the ith unit vector of the specified dimensionality.
- univariateStandardization(double[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
-
- UNIX_NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger
-
Unix newline
- unmapByteBuffer(MappedByteBuffer) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
-
Unmap a byte buffer.
- UnmodifiableArrayDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.generic
-
Unmodifiable wrapper for DBIDs.
- UnmodifiableArrayDBIDs(ArrayDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
-
Constructor.
- UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter - Class in de.lmu.ifi.dbs.elki.database.ids.generic
-
Make an existing DBIDMIter unmodifiable.
- UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter(DBIDArrayIter) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter
-
Constructor.
- UnmodifiableDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.generic
-
Unmodifiable wrapper for DBIDs.
- UnmodifiableDBIDs(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
-
Constructor.
- UnmodifiableDBIDs.UnmodifiableDBIDIter - Class in de.lmu.ifi.dbs.elki.database.ids.generic
-
Make an existing DBIDMIter unmodifiable.
- UnmodifiableDBIDs.UnmodifiableDBIDIter(DBIDIter) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs.UnmodifiableDBIDIter
-
Constructor.
- UnmodifiableIntegerArrayDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Unmodifiable wrapper for DBIDs.
- UnmodifiableIntegerArrayDBIDs(IntegerArrayDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
-
Constructor.
- UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Make an existing DBIDMIter unmodifiable.
- UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter(IntegerDBIDArrayIter) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
-
Constructor.
- UnmodifiableIntegerDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Unmodifiable wrapper for DBIDs.
- UnmodifiableIntegerDBIDs(IntegerDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
-
Constructor.
- UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Make an existing DBIDMIter unmodifiable.
- UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter(IntegerDBIDIter) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
-
Constructor.
- unorderedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Get an unordered heap iterator.
- unorderedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
-
Get an unordered heap iterator.
- UnParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization
-
Parameterization handler that doesn't set any parameters.
- UnParameterization() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
-
- UNPROCESSED - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance
-
Unprocessed IDs
- UNPROCESSED - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC
-
Constants used internally.
- UNPROCESSED - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance
-
Unprocessed IDs.
- unset() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar
-
Clear the contents.
- unset() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
-
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
-
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
-
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
-
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
-
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap
-
Get an unsorted iterator to inspect the heap.
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
-
- unsortedIter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
-
- unsortedIter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap
-
Get an unsorted iterator to inspect the heap.
- UnspecifiedParameterException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling
-
Exception when a required parameter was not given.
- UnspecifiedParameterException(Parameter<?>) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.UnspecifiedParameterException
-
Constructor with missing Parameter
- unstandardized(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
Compute the non-standardized A2 test statistic for the k-samples test.
- unstandardized(double[][], int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
Compute the non-standardized A2 test statistic for the k-samples test.
- unstandardized(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
Compute the non-standardized A2 test statistic for the k-samples test.
- UNSUPPORTED - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
-
Generic "unsupported" message
- UNSUPPORTED_NOT_YET - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
-
Generic "not yet supported" message
- UNSUPPORTED_REMOVE - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
-
"remove unsupported" message for iterators
- UNSUPPORTED_UNDEFINED_DISTANCE - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
-
Message when a distance doesn't support undefined values.
- UnsynchronizedLongCounter - Class in de.lmu.ifi.dbs.elki.logging.statistics
-
Class to count events in a thread-safe counter.
- UnsynchronizedLongCounter(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
-
Constructor.
- UnusedParameterException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling
-
Thrown by OptionHandler in case of request of an unused parameter.
- UnusedParameterException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.UnusedParameterException
-
Thrown by OptionHandler in case of request of an unused parameter.
- UnweightedDiscreteUncertainifier - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
-
Class to generate unweighted discrete uncertain objects.
- UnweightedDiscreteUncertainifier(Uncertainifier<?>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier
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Constructor.
- UnweightedDiscreteUncertainifier.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
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Parameterization class.
- UnweightedDiscreteUncertainifier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier.Parameterizer
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- UnweightedDiscreteUncertainObject - Class in de.lmu.ifi.dbs.elki.data.uncertain
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Unweighted implementation of discrete uncertain objects.
- UnweightedDiscreteUncertainObject(DoubleVector[]) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject
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Constructor.
- UnweightedDiscreteUncertainObject.Factory - Class in de.lmu.ifi.dbs.elki.data.uncertain
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Factory class for this data type.
- UnweightedDiscreteUncertainObject.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject.Factory
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- UnweightedNeighborhoodAdapter - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted
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Adapter to use unweighted neighborhoods in an algorithm that requires
weighted neighborhoods.
- UnweightedNeighborhoodAdapter(NeighborSetPredicate) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter
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Constructor.
- UnweightedNeighborhoodAdapter.Factory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted
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Factory class
- UnweightedNeighborhoodAdapter.Factory(NeighborSetPredicate.Factory<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory
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Constructor.
- UnweightedNeighborhoodAdapter.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted
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Parameterization class.
- UnweightedNeighborhoodAdapter.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer
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- UpdatableDatabase - Interface in de.lmu.ifi.dbs.elki.database
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Database API with updates.
- UpdatableHeap<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
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A heap as used in OPTICS that allows updating entries.
- UpdatableHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
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Simple constructor with default size.
- UpdatableHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
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Constructor with predefined size.
- UpdatableHeap(Comparator<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
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Constructor with comparator.
- UpdatableHeap(int, Comparator<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
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Constructor with predefined size and comparator.
- update(GriDBSCAN.Border) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.MultiBorder
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Add a new border to the existing borders.
- update() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel
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Force an update.
- update() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel
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Force an update
- update(Result) - Method in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation
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Update on a particular result.
- updateAssignment(DBIDIter, V, List<? extends ModifiableDBIDs>, WritableIntegerDataStore, double[][], int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd
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Update the assignment of a single object.
- updateAssignment(DBIDIter, List<? extends ModifiableDBIDs>, WritableIntegerDataStore, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans
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Update the cluster assignment.
- updateBounds(Relation<V>, WritableIntegerDataStore, WritableDoubleDataStore, WritableDataStore<double[]>, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan
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Update the bounds for k-means.
- updateBounds(Relation<V>, WritableIntegerDataStore, WritableDoubleDataStore, WritableDoubleDataStore, double[], double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly
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Update the bounds for k-means.
- updateCache(int, double[], double[], int[], int, int, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
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Update the cache.
- updateCircumcircle(List<Vector>) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
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Recompute the location and squared radius of circumcircle.
- updateCoreBorderObjects(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance
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Update the shared arrays for core points (to conserve memory)
- updateDensities(WritableDoubleDataStore, DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection
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Update the density estimates for each object.
- updateE(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
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- updateE(NumberVector, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel
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Update the
- updateE(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
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- updateE(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
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- updateEigenvector(double[], double[], double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
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Compute the change in the eigenvector, and normalize the output vector
while doing so.
- updateEstimations(int[], int, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
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- updateEvent(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent
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Update event.
- updateFilterSDASet(double, List<OPTICSXi.SteepDownArea>, double) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi
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Update the mib values of SteepDownAreas, and remove obsolete areas.
- updateFromTrackParameters(TrackParameters) - Method in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
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Update the Parameter list from the collected options of an ELKI context
- updateHeap(double, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
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Do a full update for the heap.
- updateInverse() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
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Compute the inverse transformation matrix
- updateKNNsAfterDeletion(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
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Updates the kNNs of the RkNNs of the specified ids.
- updateKNNsAfterInsertion(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
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Updates the kNNs of the RkNNs of the specified ids.
- updateKNNsAndRkNNs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
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Updates the kNNs and RkNNs after insertion of the specified ids.
- updateMatrix(int, double[], DBIDArrayIter, PointerHierarchyRepresentationBuilder, double, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES
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Update the scratch distance matrix.
- updateMatrix(int, double[], DBIDArrayIter, double[], int[], PointerHierarchyRepresentationBuilder, double, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
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Update the scratch distance matrix.
- updateMatrix(double[][], double[], double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform
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Update matrix, by removing the effects of a known Eigenvector.
- updateMeanAndAssignment(List<ModifiableDBIDs>, List<Vector>, int, V, DBIDIter, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans
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Try to update the cluster assignment.
- updateMeans(List<Vector>, double[][], List<ModifiableDBIDs>, int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd
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Merge changes into mean vectors.
- updateMeta(BundleMeta) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter
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Process an updated meta record.
- updateMeta(BundleMeta) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
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Process an updated meta record.
- updateMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter
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Update metadata.
- updateMinMax(V, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
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Updates the minima and maxima array according to the specified feature
vector.
- updateNames() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme
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Assign names to each cluster (which doesn't have a name yet)
- updateOUT(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures
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updateOUT function inserts pf[i] in out.
- updateParameterTable() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
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Serialize the parameter table and run setParameters().
- updateParameterTable() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
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Serialize the parameter table and run setParameters()
- updateProgressBar(Progress, JProgressBar) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel
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Update a progress bar
- updateRowAndColumnMeans(double[][], boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
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Update the row means and column means.
- updates - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent
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Updates.
- updates - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNChangeEvent
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The ids of the kNNs that were updated due to the insertion or removals of
objects.
- updateSizes(DBIDs, WritableDataStore<ModifiableDBIDs>, WritableIntegerDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF
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This method updates each object's cluster size after the clustering step.
- updateStatus() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
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Invoked to update the UI when the status could have changed.
- updateWeights(WritableDoubleDataStore, DBIDs, T, DistanceQuery<? super T>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.KMeansPlusPlusInitialMeans
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Update the weight list.
- updateWLB(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures
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updateWLB function inserts pf[i] in wlb.
- upperHull - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull
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The upper hull.
- usage(Collection<TrackedParameter>) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication
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Returns a usage message, explaining all known options
- usebulk - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
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Flag to use bulk operations.
- used - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger
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Number of used indexes.
- used - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
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Parameters to rewind.
- useDefaultValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
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- useDefaultValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
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Sets the default value of this parameter as the actual value of this
parameter.
- usegzip - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
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Control gzip compression of output.
- useinverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
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Allow inversion of rows in the last phase.
- usemean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer
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Use the mean for scaling
- usemean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
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Use the mean for scaling
- USER_REQUESTED_HELP - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
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Message when the user requested a help message.
- ustart - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
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Base for enumerating unique values.
- Util - Class in de.lmu.ifi.dbs.elki.utilities
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This class collects various static helper methods.
- Util() - Constructor for class de.lmu.ifi.dbs.elki.utilities.Util
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Fake constructor: do not instantiate.
- Util.ForwardComparator - Class in de.lmu.ifi.dbs.elki.utilities
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Regular comparator.
- Util.ForwardComparator() - Constructor for class de.lmu.ifi.dbs.elki.utilities.Util.ForwardComparator
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