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B

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, 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, 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
Keeps the currently set bandSize.
BANDSIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer
Bandsize parameter.
bandwidth - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering
Range of the kernel.
BARHEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
Constant: height of score bars
BARLENGTH - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
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.
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
basename - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
Base file name.
baseResult - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer
Starting point.
baseResult - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations
Base result
baseResult - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
Starting point of the result tree, may be null.
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, KNNHeap>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery
Performs a batch knn query.
BATIK_DOM - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Batik DOM implementation.
BATIK_DOMS - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
DOM implementations to try.
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
 
BayesianInformationCriterion - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality
Bayesian Information Criterion (BIC), also known as Schwarz criterion (SBC, SBIC) for the use with evaluating k-means results.
BayesianInformationCriterion() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterion
 
BayesianInformationCriterionZhao - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality
Different version of the BIC criterion.
BayesianInformationCriterionZhao() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterionZhao
 
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
 
beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
 
beginEStep() - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel
Begin the E step.
beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
 
beginEStep() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel
 
beginStep(StepProgress, int, String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Begin a new algorithm step (unless null).
beginStep(int, String, Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress
Do a new step and log it
bend - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Parameterizer
Use bend curves
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.
BestOfMultipleKMeans<V extends NumberVector,M extends MeanModel> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
Run K-Means multiple times, and keep the best run.
BestOfMultipleKMeans(int, KMeans<V, M>, KMeansQualityMeasure<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans
Constructor.
BestOfMultipleKMeans.Parameterizer<V extends NumberVector,M extends MeanModel> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
Parameterization class.
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
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.
BiclusterCandidate(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Constructor.
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.Parameterizer
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(List<SparseItemset>, SparseItemset, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Binary-search for the next-larger element.
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
 
binarySearch(ModifiableDoubleDBIDList, DoubleDBIDListIter, double) - Static method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
Seek an iterator to the desired position, using binary search.
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
number of bins for the histogram Default value: EuclideanDistanceFunction Key: -comphist.bins
binsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
Width of a bin.
Bit - Class in de.lmu.ifi.dbs.elki.data
A boolean number type.
Bit(boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit
Deprecated.
Use Bit.valueOf(java.lang.String) to save memory.
Bit(int) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit
Deprecated.
Use Bit.valueOf(java.lang.String) to save memory.
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 - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that require bit vectors.
BIT_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that require bit vector fields.
bits - Variable in class de.lmu.ifi.dbs.elki.data.BitVector
Storing the bits.
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.
BitVector - Class in de.lmu.ifi.dbs.elki.data
Vector using a dense bit set encoding, based on long[] storage.
BitVector(long[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector
Create a new BitVector corresponding to the specified bits and of the specified dimensionality.
BitVector.Factory - Class in de.lmu.ifi.dbs.elki.data
Factory for bit vectors.
BitVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
Parameterization class.
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.
BitVectorLabelParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parser for parsing one BitVector per line, bits separated by whitespace.
BitVectorLabelParser(CSVReaderFormat) - 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.
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.
BlockArrayRunner(ArrayDBIDs, int, int, Processor[]) - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner
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.
booleanValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Get the value of a single bit.
boost - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization
Boosting factor, and scaling coefficient.
boost - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer
Boosting factor.
BOOST_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer
Boosting factor parameter.
BoundingBoxVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Draw spatial objects (except vectors!)
BoundingBoxVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization
Constructor.
BoundingBoxVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Instance for a particular data set.
bounds - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.AbstractUncertainObject
Bounding box of the object.
boxRadius(int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.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
Deprecated.
BrayCurtisDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Parameterization class.
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
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
Parameterization class.
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.datasource.parser.BitVectorLabelParser
Buffer, will be reused.
buf - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser
Buffer, will be reused.
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.utilities.io.BufferedLineReader
The buffer we read the data into.
buf - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
String buffer for building the path.
buf1 - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser
Buffers, will be reused.
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.utilities.io.ByteBufferInputStream
The actual buffer we're using.
buffer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferOutputStream
The actual buffer we're using.
buffer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader
Character buffer
BUFFER_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader
Buffer size to use
BufferedLineReader - Class in de.lmu.ifi.dbs.elki.utilities.io
Class for buffered IO, avoiding some of the overheads of the Java API.
BufferedLineReader() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
Constructor.
BufferedLineReader(LineReader) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
Constructor.
BufferedLineReader(InputStream) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
Constructor.
BufferedLineReader(InputStreamReader) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.BufferedLineReader
Constructor.
build(List<Class<?>>, String) - Static method in class de.lmu.ifi.dbs.elki.gui.util.ClassTree
Build the class tree for a given set of choices.
build(SVGPlot, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar
Build the actual element
buildClassifier(Database, Relation<? extends ClassLabel>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.classification.Classifier
Performs the training.
buildClassifier(Database, Relation<? extends ClassLabel>) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier
 
buildClassifier(Database, Relation<? extends ClassLabel>) - Method in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier
Learns the prior probability for all classes.
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.
buildFPTree(Relation<BitVector>, int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth
Build the actual FP-tree structure.
buildFrequentOneItemsets(Relation<? extends SparseFeatureVector<?>>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Build the 1-itemsets.
buildFrequentTwoItemsets(List<OneItemset>, Relation<BitVector>, int, int, DBIDs, ArrayModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Build the 2-itemsets.
buildHierarchy(Clustering<CorrelationModel<V>>, List<List<Cluster<CorrelationModel<V>>>>, ERiCNeighborPredicate<V>.Instance) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
 
buildHierarchy(Relation<V>, Clustering<SubspaceModel>, List<Cluster<SubspaceModel>>, 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>>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
Recursively step through the clusters to build the hulls.
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.
buildIndex(Relation<BitVector>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat
 
buildIndex(int[], int[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth
Build a forward map, item id (dimension) to frequency position
buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModelFactory
 
buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModelFactory
Build the initial models
buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModelFactory
 
buildInitialModels(Database, Relation<V>, int, NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModelFactory
 
buildMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Update the meta element.
buildMeta() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
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.
buildPartitions(NumberArrayAdapter<?, A>, A, int, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure
Partitions an attribute.
buildRanges(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier
Grid discretization of the data:
Each attribute of data is divided into phi equi-depth ranges.
buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance
 
buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance
Build the final result.
buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance
 
buildResult() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance
 
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.
buildTree(int, int, int, DoubleDBIDListMIter) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree
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
bulkConstruct(DBIDRef, int, double, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree
Bulk-load the cover tree.
bulkConstruct(DBIDRef, int, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree
Bulk-load the cover tree.
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(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree
Bulk-load the index.
bulkLoad(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree
Bulk-load the index.
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<SpatialEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
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.
bulkLoad(List<RdKNNEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Performs a bulk load on this RTree with the specified data.
bulkReverseKNNQueryForID(DBIDs, int, SpatialPrimitiveDistanceFunction<? super O>, KNNQuery<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
 
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 - Variable in class de.lmu.ifi.dbs.elki.datasource.MultipleObjectsBundleDatabaseConnection
Bundle.
bundle - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
Input data bundle.
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.
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(MappedByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
Constructor.
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
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.ClassParameterConfigurator
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_NAME_SORTER - Static variable in class de.lmu.ifi.dbs.elki.data.Cluster
A partial comparator for Clusters, based on their name.
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.
ByLabelFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection
A filter to select data set by their label.
ByLabelFilter(Pattern, boolean) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter
Constructor.
ByLabelFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection
Parameterization class.
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.
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.
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.math.linearalgebra.Vector
Serializer for up to 127 dimensions.
BYTE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.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.utilities.io
Class with various utilities for manipulating byte arrays.
ByteArrayUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
Fake constructor.
ByteArrayUtil.ByteSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for byte objects.
ByteArrayUtil.DoubleSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for double objects.
ByteArrayUtil.FloatSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for float objects.
ByteArrayUtil.IntegerSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for integer objects.
ByteArrayUtil.LongSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for long objects.
ByteArrayUtil.ShortSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for short objects.
ByteArrayUtil.StringSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for String objects.
ByteArrayUtil.VarintSerializer - Class in de.lmu.ifi.dbs.elki.utilities.io
Serializer for Integer objects using a variable size encoding.
ByteBufferInputStream - Class in de.lmu.ifi.dbs.elki.utilities.io
Wrap an existing ByteBuffer as InputStream.
ByteBufferInputStream(ByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferInputStream
Constructor.
ByteBufferOutputStream - Class in de.lmu.ifi.dbs.elki.utilities.io
Wrap an existing ByteBuffer as OutputStream.
ByteBufferOutputStream(ByteBuffer) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteBufferOutputStream
Constructor.
ByteBufferSerializer<T> - Interface in de.lmu.ifi.dbs.elki.utilities.io
Class to convert from and to byte arrays (in index structures).
byteBufferToPage(ByteBuffer) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
Reconstruct a serialized object from the specified byte array.
byteOnDisk(int, int) - Static method in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation
Computes IO costs (in bytes) needed for reading the candidates.
ByteSerializer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ByteSerializer
Constructor.
byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
 
byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector
 
byteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns the value in the specified dimension as byte.
byteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
byteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterByteValue(int).
byteValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
 
byteValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
 
ByteVector - Class in de.lmu.ifi.dbs.elki.data
Vector using byte[] storage.
ByteVector(byte[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector
Private constructor.
ByteVector(byte[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector
Create an ByteVector consisting of the given Byte values.
ByteVector.Factory - Class in de.lmu.ifi.dbs.elki.data
Factory for Byte vectors.
ByteVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
Parameterization class.
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.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.
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ELKI Version 0.7.0~20150828

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