- b - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation
-
The parameters b0, ..., bp.
- b - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
-
Model parameters: major and minor radius.
- b - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
-
References to points in Delaunay2D.points
- b - Variable in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression
-
The (p+1 x 1) - vector holding the estimated b-values (b0, b1, ..., bp)^T.
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
-
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
-
Polynomial approximation
- B1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
-
Polynomial approximation
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
-
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
-
Polynomial approximation
- B2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
-
Polynomial approximation
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
-
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
-
Polynomial approximation
- B3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
-
Polynomial approximation
- B4 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator
-
Coefficients for polynomial approximation
- BACKGROUND_COLOR - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
-
Background color
- balancedPartition(AbstractMTree<O, D, N, E, ?>, N, DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MTreeSplit
-
Creates a balanced partition of the entries of the specified node.
- balancedPartition(AbstractMTree<O, D, N, E, ?>, N, int, int, double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MTreeSplit
-
Creates a balanced partition of the entries of the specified node.
- bandSize - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction
-
Keeps the currently set bandSize.
- bandSize - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer
-
- BANDSIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction
-
BANDSIZE parameter
- BARHEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisualization
-
Constant: height of score bars
- BARLENGTH - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisualization
-
Constant: width of score bars
- base - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Base value
- base - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
-
Array 'base', i.e. the point of 0.0.
- Base64 - Class in de.lmu.ifi.dbs.elki.utilities
-
Class to wrap various Base64 encoders that could be available.
- Base64() - Constructor for class de.lmu.ifi.dbs.elki.utilities.Base64
-
- basedOnDatabase - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
-
Database we ran last onn
- basedOnResult - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel
-
Result we ran last onn
- basedOnResult - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel
-
Result we ran last on
- BaseModel - Class in de.lmu.ifi.dbs.elki.data.model
-
Abstract base class for Cluster Models.
- BaseModel() - Constructor for class de.lmu.ifi.dbs.elki.data.model.BaseModel
-
- basename - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
-
Base file name.
- baseResult - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations
-
Base result
- baseResult - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation
-
Database
- baseStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane
-
Base (default) style
- BasicOutlierScoreMeta - Class in de.lmu.ifi.dbs.elki.result.outlier
-
Basic outlier score.
- BasicOutlierScoreMeta(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
Constructor with actual values only.
- BasicOutlierScoreMeta(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
Constructor with all range values
- BasicOutlierScoreMeta(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
-
Full constructor - all values.
- BasicResult - Class in de.lmu.ifi.dbs.elki.result
-
Basic class for a result.
- BasicResult(String, String) - Constructor for class de.lmu.ifi.dbs.elki.result.BasicResult
-
Result constructor.
- basis - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Separation
-
Basis of manifold
- basis - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster
-
The matrix defining the subspace of this cluster.
- batchNN(N, DBIDs, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
-
Deprecated.
Change to use by-object NN lookups instead.
- batchNN(AbstractRStarTreeNode<?, ?>, Map<DBID, DoubleDistanceKNNHeap>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
-
Performs a batch knn query.
- batchNN(AbstractRStarTreeNode<?, ?>, Map<DBID, KNNHeap<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery
-
Performs a batch knn query.
- BatikUtil - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
-
Batik helper class with static methods.
- BatikUtil() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.BatikUtil
-
- bc - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
-
References to neighbor triangles
- BCubed - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
BCubed measures.
- BCubed(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
-
Constructor.
- bcubed - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
BCubed measures
- bCubedPrecision - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
-
Result cache
- bCubedRecall - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed
-
Result cache
- bearingDegDeg(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
-
Compute the bearing from start to end.
- bearingRad(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
-
Compute the bearing from start to end.
- becomeDefaultLogger() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane
-
Become the default logger.
- becomeDefaultLogger() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel
-
Become the default logger.
- begin - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
-
Slice positions.
- begin - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
-
Slice positions.
- begin() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Duration
-
Start the timer.
- begin - Variable in class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration
-
Tracking variables.
- begin() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.MillisTimeDuration
-
- begin - Variable in class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
-
Tracking variables.
- begin() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.NanoDuration
-
- beginStep(int, String) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress
-
Deprecated.
- beginStep(int, String, Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress
-
Do a new step and log it
- BestFitEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta
-
A meta estimator that will try a number of (inexpensive) estimations, then
choose whichever works best.
- BestFitEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator
-
Constructor.
- BestFitEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta
-
Parameterization class.
- BestFitEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator.Parameterizer
-
- BestOfMultipleKMeans<V extends NumberVector<?>,D extends Distance<?>,M extends MeanModel<V>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
-
Run K-Means multiple times, and keep the best run.
- BestOfMultipleKMeans(int, KMeans<V, D, M>, KMeansQualityMeasure<? super V, ? super D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans
-
Constructor.
- BestOfMultipleKMeans.Parameterizer<V extends NumberVector<?>,D extends Distance<D>,M extends MeanModel<V>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
-
Parameterization class.
- BestOfMultipleKMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer
-
- bestPivot(int, int, int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Choose the best pivot for the given rank.
- bestSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
-
Indicates whether the sorting according to maximal or to minimal value
has been used for choosing the split axis and split point.
- bestSubspace(List<Subspace>, Subspace, TreeMap<Subspace, List<Cluster<Model>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
-
Determines the d-dimensional subspace of the (d+1)
-dimensional candidate with minimal number of objects in the cluster.
- beta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC
-
Balancing parameter for importance of points vs. dimensions
- beta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
-
Balancing parameter for importance of points vs. dimensions
- beta - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
-
- beta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Shape parameter of beta distribution
- beta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
-
Parameters.
- beta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
-
Shape parameter beta.
- BETA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
-
Balancing parameter for importance of points vs. dimensions
- BETA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
-
Beta parameter.
- BetaDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Beta Distribution with implementation of the regularized incomplete beta
function
- BetaDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Constructor.
- BetaDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Constructor.
- BetaDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
-
Constructor.
- BetaDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Parameterization class
- BetaDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer
-
- betaPWM(A, NumberArrayAdapter<?, A>, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments
-
Compute the beta_r factors using the method of probability-weighted
moments.
- Bfinal - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction
-
Sigmoid parameter
- bias - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
-
Bias of the similarity function.
- bias - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
-
Bias parameter.
- BIAS_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
-
Bias parameter.
- biclustering() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
-
Run the actual biclustering algorithm.
- biclustering() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
-
- BiclusterModel - Class in de.lmu.ifi.dbs.elki.data.model
-
Wrapper class to provide the basic properties of a Bicluster.
- BiclusterModel(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.model.BiclusterModel
-
Defines a new Bicluster for given parameters.
- BiclusterWithInversionsModel - Class in de.lmu.ifi.dbs.elki.data.model
-
This code was factored out of the Bicluster class, since not all biclusters
have inverted rows.
- BiclusterWithInversionsModel(int[], DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInversionsModel
-
- big - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
- big - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer
-
- BIG_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
Parameter to specify a constant big value to reset high eigenvalues, must
be a double greater than 0.
- bin - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
-
Current bin number
- BIN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
-
Generic tag to indicate the type of element.
- binary - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling
-
Do a binary decision
- binary - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling.Parameterizer
-
- BINARY_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling
-
Parameter to specify the lambda value
Key: -topk.binary
- binarySearch(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs
-
Search for the position of the given key, assuming that the data set is
sorted.
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
-
- binarySearch(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
-
- binarySplitSort(List<T>, int, int, int, int, int[], SpatialSingleMeanComparator) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.BinarySplitSpatialSorter
-
Sort the array using a binary split in dimension curdim, then recurse with
the next dimension.
- BinarySplitSpatialSorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Spatially sort the data set by repetitive binary splitting, circulating
through the dimensions.
- BinarySplitSpatialSorter() - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.BinarySplitSpatialSorter
-
Constructor.
- binomialCoefficient(long, long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Binomial coefficient, also known as "n choose k".
- BINS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
-
Histogram resolution
- bins - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram
-
Number of bins
- bins - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer
-
Number of bins
- bins - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer
-
Number of bins to use in the histogram.
- BINS_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram
-
- binsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
-
Width of a bin.
- BINSPERPLANE_ID - Static variable in class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram
-
Parameter that specifies the number of bins (per plane) to use.
- BINSPERPLANE_ID - Static variable in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram
-
Parameter that specifies the number of bins (per plane) to use.
- BINSPERPLANE_ID - Static variable in class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram
-
Parameter that specifies the number of bins (per plane) to use.
- Bit - Class in de.lmu.ifi.dbs.elki.data
-
Provides a bit number.
- Bit(boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit
-
- Bit(int) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit
-
- bit - Variable in class de.lmu.ifi.dbs.elki.data.Bit
-
Internal representation of the bit value.
- BIT_DEFAULT_VALUE - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option with a default value
- BIT_INCOMPLETE - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option that should be set
- BIT_INVALID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option with an invalid value
- BIT_OPTIONAL - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an optional value
- BIT_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.data.Bit
-
Pattern defining valid bit values.
- BIT_SYNTAX_ERROR - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
-
Bit for an option containing an syntax error
- BIT_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Input type for algorithms that require number vector fields.
- BitDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
-
Provides a Distance for a bit-valued distance.
- BitDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
-
Empty constructor for serialization purposes.
- BitDistance(boolean) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
-
Constructs a new BitDistance object that represents the bit argument.
- BitDistance(Bit) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
-
Constructs a new BitDistance object that represents the bit argument.
- bits - Variable in class de.lmu.ifi.dbs.elki.data.BitVector
-
Storing the bits.
- bits - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
-
Subspace.
- bits - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
-
The bitmask used for masking.
- bits - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter.HilbertRef
-
Hilbert representation.
- BitsUtil - Class in de.lmu.ifi.dbs.elki.utilities
-
Utilities for bit operations.
- BitsUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.BitsUtil
-
- bitValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
-
Returns the bit value as a boolean.
- bitValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
-
Returns the value of this BitDistance as a boolean.
- BitVector - Class in de.lmu.ifi.dbs.elki.data
-
Provides a BitVector wrapping a BitSet.
- BitVector(BitSet, int) - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector
-
Provides a new BitVector corresponding to the specified bits and of the
specified dimensionality.
- BitVector(Bit[]) - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector
-
Provides a new BitVector corresponding to the bits in the given array.
- BitVector.Factory - Class in de.lmu.ifi.dbs.elki.data
-
Factory for bit vectors.
- BitVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector.Factory
-
- BitVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
-
Parameterization class.
- BitVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector.Factory.Parameterizer
-
- BitVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data
-
Serialization class for dense integer vectors with up to
Short.MAX_VALUE dimensions, by using a short for storing the
dimensionality.
- BitVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector.ShortSerializer
-
- BitVectorLabelParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
-
Provides a parser for parsing one BitVector per line, bits separated by
whitespace.
- BitVectorLabelParser(Pattern, String, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser
-
Constructor.
- BitVectorLabelParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
-
Parameterization class.
- BitVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser.Parameterizer
-
- BiweightKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
-
Biweight (Quartic) kernel density estimator.
- BiweightKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
-
Private, empty constructor.
- BiweightKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
-
Parameterization stub.
- BiweightKernelDensityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction.Parameterizer
-
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.AverageBlendingContext
-
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
-
The actual blending function for two colors.
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.DarkenBlendingContext
-
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.LightenBlendingContext
-
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.MultiplyBlendingContext
-
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.OverlayBlendingContext
-
- blend(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.ScreenBlendingContext
-
- BlendComposite - Class in de.lmu.ifi.dbs.elki.data.images
-
- BlendComposite(int) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite
-
Simplified constructor with full opacity.
- BlendComposite(int, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite
-
Full constructor, with alpha (opacity) value.
- BlendComposite.AverageBlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Blending context for an "average" blending.
- BlendComposite.AverageBlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.AverageBlendingContext
-
Constructor.
- BlendComposite.BlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Abstract blending context that takes care of color space conversion and
pixel iteration.
- BlendComposite.BlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
-
Constructor.
- BlendComposite.DarkenBlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Blending context for a "darken only" blending.
- BlendComposite.DarkenBlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.DarkenBlendingContext
-
Constructor.
- BlendComposite.LightenBlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Blending context for a "lighten only" blending.
- BlendComposite.LightenBlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.LightenBlendingContext
-
Constructor.
- BlendComposite.MultiplyBlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Blending context for a "multiply" blending.
- BlendComposite.MultiplyBlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.MultiplyBlendingContext
-
Constructor.
- BlendComposite.OverlayBlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Blending context for a "overlay" blending.
- BlendComposite.OverlayBlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.OverlayBlendingContext
-
Constructor.
- BlendComposite.ScreenBlendingContext - Class in de.lmu.ifi.dbs.elki.data.images
-
Blending context for a "screen" blending.
- BlendComposite.ScreenBlendingContext(ColorModel, ColorModel, double) - Constructor for class de.lmu.ifi.dbs.elki.data.images.BlendComposite.ScreenBlendingContext
-
Constructor.
- blocks - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd
-
Number of blocks to use.
- blocks - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd.Parameterizer
-
Number of blocks.
- BLOCKS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBatchedLloyd.Parameterizer
-
Parameter for the number of blocks.
- boxRadius(int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures
-
boxRadius function calculate the Boxradius
- bpp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer
-
- BPP_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction
-
Parameter for the kernel dimensionality.
- BPP_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction
-
Parameter for the kernel dimensionality.
- BrayCurtisDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Bray-Curtis distance function / Sørensen–Dice coefficient for continuous
spaces.
- BrayCurtisDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
-
- BrayCurtisDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Parameterization class.
- BrayCurtisDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction.Parameterizer
-
- breadth - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging
-
Cumulative sum or breadth first combinations.
- breadth - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
-
Cumulative sum or breadth first combinations.
- BREADTH_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
-
The flag for using the breadth first approach.
- BreadthFirstEnumeration<N extends Node<E>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree
-
Provides a breadth first enumeration over the nodes of an index structure.
- BreadthFirstEnumeration(IndexTree<N, E>, IndexTreePath<E>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration
-
Creates a new breadth first enumeration with the specified node as root
node.
- breakNoiseClusters - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
Noise cluster handling
- BUBBLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
-
Generic tag to indicate the type of element.
- BUBBLEPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
-
Bubble size
- BubbleVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
-
Generates a SVG-Element containing bubbles.
- BubbleVisualization(BubbleVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
-
Constructor.
- BubbleVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
-
Factory for producing bubble visualizations
- BubbleVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
-
Constructor.
- BubbleVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
-
Parameterization class.
- BubbleVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer
-
- BUCKETS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer
-
Number of hash tables to use for LSH.
- buf - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
-
Projection buffer.
- buf - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection
-
Projection buffer.
- buf - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
String buffer for building the path.
- buffer - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer
-
The actual buffer we serialize to
- buffer - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
The stream buffer.
- buffer - Variable in class de.lmu.ifi.dbs.elki.persistent.ByteBufferInputStream
-
The actual buffer we're using.
- buffer - Variable in class de.lmu.ifi.dbs.elki.persistent.ByteBufferOutputStream
-
The actual buffer we're using.
- build(SVGPlot, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar
-
Build the actual element
- buildDB(int, Matrix, DBIDs, Relation<ParameterizationFunction>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Builds a dim-1 dimensional database where the objects are projected into
the specified subspace.
- buildDerivatorDB(Relation<ParameterizationFunction>, CASHInterval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Builds a database for the derivator consisting of the ids in the specified
interval.
- buildDerivatorDB(Relation<ParameterizationFunction>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Builds a database for the derivator consisting of the ids in the specified
interval.
- buildHierarchy(Clustering<CorrelationModel<V>>, List<List<Cluster<CorrelationModel<V>>>>, DistanceQuery<V, IntegerDistance>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
-
- buildHierarchy(Relation<V>, DiSHDistanceFunction.Instance<V>, Clustering<SubspaceModel<V>>, List<Cluster<SubspaceModel<V>>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
-
Builds the cluster hierarchy.
- buildHullsRecursively(Cluster<Model>, Hierarchy<Cluster<Model>>, Map<Object, DoubleObjPair<Polygon>>) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
-
Recursively step through the clusters to build the hulls.
- buildMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Update the meta element.
- buildOneDimIndexes(Relation<? extends NumberVector<?>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS
-
Calculates "index structures" for every attribute, i.e. sorts a
ModifiableArray of every DBID in the database for every dimension and
stores them in a list
- buildOneDimIndexes(Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity
-
Calculates "index structures" for every attribute, i.e. sorts a
ModifiableArray of every DBID in the database for every dimension and
stores them in a list
- buildParameterIndex(Map<Class<?>, List<Parameter<?>>>, Map<OptionID, List<Pair<Parameter<?>, Class<?>>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
-
- buildPartitions(Relation<? extends NumberVector<?>>, DBIDs, int, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity
-
Calculates "index structures" for every attribute, i.e. sorts a
ModifiableArray of every DBID in the database for every dimension and
stores them in a list.
- buildRanges(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier
-
Grid discretization of the data:
Each attribute of data is divided into phi equi-depth ranges.
- buildToolBox() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
-
Build the toolbox
- buildTree(int, int, int, VectorUtil.SortDBIDsBySingleDimension) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
-
Recursively build the tree by partial sorting.
- BULK_SPLIT_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer
-
Parameter for bulk strategy
- bulkLoad(double[], double[], List<ALOCI.Node>, ArrayModifiableDBIDs, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree
-
Bulk load the tree
- bulkLoad(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
-
Performs a bulk load on this RTree with the specified data.
- bulkLoad(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
-
Performs a bulk load on this RTree with the specified data.
- BulkSplit - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
-
Interface for a bulk split strategy.
- bulkSplitter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings
-
The strategy for bulk load.
- bundle - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
-
Bundle to access
- BUNDLE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer
-
Option ID for the bundle parameter.
- BundleDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
-
Class to load a database from a bundle file.
- BundleDatabaseConnection(List<ObjectFilter>, File) - Constructor for class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection
-
Constructor.
- BundleDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource
-
Parameterization class.
- BundleDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer
-
- BundleMeta - Class in de.lmu.ifi.dbs.elki.datasource.bundle
-
Store the package metadata in an array list.
- BundleMeta() - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta
-
Constructor.
- BundleMeta(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta
-
Constructor.
- BundleMeta(SimpleTypeInformation<?>...) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta
-
Constructor.
- BundleReader - Class in de.lmu.ifi.dbs.elki.datasource.bundle
-
Read an ELKI bundle file into a data stream.
- BundleReader(FileChannel) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
Constructor.
- BundleStreamSource - Interface in de.lmu.ifi.dbs.elki.datasource.bundle
-
Soruce for a bundle stream
- BundleStreamSource.Event - Enum in de.lmu.ifi.dbs.elki.datasource.bundle
-
Events
- BundleStreamSource.Event() - Constructor for enum de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource.Event
-
- bundleToJSON(JSONBuffer, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer
-
Serialize an object bundle to JSON.
- BundleWriter - Class in de.lmu.ifi.dbs.elki.datasource.bundle
-
Write an object bundle stream to a file channel.
- BundleWriter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter
-
- butcss - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton
-
Class for the buttons main CSS
- button - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor
-
The button to open the file selector
- button - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor
-
The button to open the file selector
- buttonsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
-
Button size
- BY_DISTANCE_THEN_DBID - Static variable in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResultUtil
-
Static comparator.
- BY_NAME_SORTER - Static variable in class de.lmu.ifi.dbs.elki.data.Cluster
-
A partial comparator for Clusters, based on their name.
- BY_REVERSE_DISTANCE - Static variable in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResultUtil
-
Static comparator for heaps.
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
-
Comparator to compare by second component only
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
-
Comparator to compare by first component only
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
-
Comparator to compare by second component only
- BYFIRST_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
-
Comparator to compare by second component only
- bylabel - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
-
By label outlier detection - reference
- bylabel - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
-
By label outlier -- reference
- ByLabelClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Pseudo clustering using labels.
- ByLabelClustering(boolean, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
-
Constructor.
- ByLabelClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
-
Constructor without parameters
- ByLabelClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Parameterization class.
- ByLabelClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer
-
- ByLabelFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
-
A filter to sort the data set by some label.
- ByLabelFilter(Pattern, boolean) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter
-
Constructor.
- ByLabelFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter
-
Parameterization class.
- ByLabelFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter.Parameterizer
-
- ByLabelHierarchicalClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Pseudo clustering using labels.
- ByLabelHierarchicalClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelHierarchicalClustering
-
Constructor without parameters
- ByLabelOrAllInOneClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Trivial class that will try to cluster by label, and fall back to an
"all-in-one" clustering.
- ByLabelOrAllInOneClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelOrAllInOneClustering
-
Constructor.
- ByLabelOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial
-
Trivial algorithm that marks outliers by their label.
- ByLabelOutlier(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier
-
Constructor.
- ByLabelOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier
-
Constructor.
- ByLabelOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial
-
Parameterization class.
- ByLabelOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer
-
- ByModelClustering - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Pseudo clustering using annotated models.
- ByModelClustering(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
-
Constructor.
- ByModelClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
-
Constructor without parameters
- ByModelClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
-
Parameterization class.
- ByModelClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering.Parameterizer
-
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
-
Comparator to compare by second component only
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
-
Comparator to compare by second component only
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
-
Comparator to compare by second component only
- BYSECOND_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
-
Comparator to compare by second component only
- BYTE_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
-
Adapter for byte arrays.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.ByteVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.DoubleVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.FloatVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.IntegerVector
-
Serializer for up to 127 dimensions.
- BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil
-
Static instance.
- byteArrayToPage(byte[]) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
-
Reconstruct a serialized object from the specified byte array.
- ByteArrayUtil - Class in de.lmu.ifi.dbs.elki.persistent
-
Class with various utilities for manipulating byte arrays.
- ByteArrayUtil() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil
-
Fake constructor.
- ByteArrayUtil.ByteSerializer - Class in de.lmu.ifi.dbs.elki.persistent
-
Serializer for byte objects.
- ByteArrayUtil.ByteSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.ByteSerializer
-
Constructor.
- ByteArrayUtil.DoubleSerializer - Class in de.lmu.ifi.dbs.elki.persistent
-
Serializer for double objects.
- ByteArrayUtil.DoubleSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.DoubleSerializer
-
Constructor.
- ByteArrayUtil.FloatSerializer - Class in de.lmu.ifi.dbs.elki.persistent
-
Serializer for float objects.
- ByteArrayUtil.FloatSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.FloatSerializer
-
Constructor.
- ByteArrayUtil.IntegerSerializer - Class in de.lmu.ifi.dbs.elki.persistent
-
Serializer for integer objects.
- ByteArrayUtil.IntegerSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.IntegerSerializer
-
Constructor.
- ByteArrayUtil.LongSerializer - Class in de.lmu.ifi.dbs.elki.persistent
-
Serializer for long objects.
- ByteArrayUtil.LongSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.LongSerializer
-
Constructor.
- ByteArrayUtil.ShortSerializer - Class in de.lmu.ifi.dbs.elki.persistent
-
Serializer for short objects.
- ByteArrayUtil.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.ShortSerializer
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Constructor.
- ByteArrayUtil.StringSerializer - Class in de.lmu.ifi.dbs.elki.persistent
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Serializer for String objects.
- ByteArrayUtil.StringSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.StringSerializer
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Constructor.
- ByteArrayUtil.VarintSerializer - Class in de.lmu.ifi.dbs.elki.persistent
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Serializer for Integer objects using a variable size encoding.
- ByteArrayUtil.VarintSerializer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.VarintSerializer
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Constructor.
- ByteBufferInputStream - Class in de.lmu.ifi.dbs.elki.persistent
-
Wrap an existing ByteBuffer as InputStream.
- ByteBufferInputStream(ByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteBufferInputStream
-
Constructor.
- ByteBufferOutputStream - Class in de.lmu.ifi.dbs.elki.persistent
-
Wrap an existing ByteBuffer as OutputStream.
- ByteBufferOutputStream(ByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.persistent.ByteBufferOutputStream
-
Constructor.
- ByteBufferSerializer<T> - Interface in de.lmu.ifi.dbs.elki.persistent
-
Class to convert from and to byte arrays (in index structures).
- byteBufferToPage(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
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Reconstruct a serialized object from the specified byte array.
- byteOnDisk(int, int) - Static method in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation
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Computes IO costs (in bytes) needed for reading the candidates.
- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
-
- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector
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- byteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
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Returns the value in the specified dimension as byte.
- byteValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
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Returns the byte value of this.doubleValue().
- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
-
- byteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
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- byteValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance
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Get the value as byte.
- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
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- byteValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
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- ByteVector - Class in de.lmu.ifi.dbs.elki.data
-
A ByteVector stores the data using bytes.
- ByteVector(byte[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector
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Private constructor.
- ByteVector(byte[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector
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Provides an ByteVector consisting of the given Byte values.
- ByteVector.Factory - Class in de.lmu.ifi.dbs.elki.data
-
Factory for Byte vectors.
- ByteVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.Factory
-
- ByteVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
-
Parameterization class.
- ByteVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.Factory.Parameterizer
-
- ByteVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data
-
Serialization class for dense Byte vectors with up to
Short.MAX_VALUE dimensions, by using a short for storing the
dimensionality.
- ByteVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.ShortSerializer
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- ByteVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data
-
Serialization class for dense Byte vectors with up to 127 dimensions, by
using a byte for storing the dimensionality.
- ByteVector.SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.SmallSerializer
-
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