A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

B

b - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation

The parameters b0, ..., bp.

b - Static variable in class de.lmu.ifi.dbs.elki.math.ErrorFunctions

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.

balancedPartition(N, Integer, Integer, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction

OptionID for AbstractEditDistanceFunction.BANDSIZE_PARAM

BANDSIZE_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction

BANDSIZE parameter

base - Variable in class de.lmu.ifi.dbs.elki.math.Histogram

Array 'base', i.e. the point of 0.0.

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.

baseparser - Variable in class de.lmu.ifi.dbs.elki.parser.meta.MetaParser

Holds an instance of the current base parser.

BASEPARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.parser.meta.MetaParser

OptionID for MetaParser.BASEPARSER_PARAM.

BASEPARSER_PARAM - Variable in class de.lmu.ifi.dbs.elki.parser.meta.MetaParser

The parameter for setting the base parser.

basis - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster

The matrix defining the subspace of this cluster.

batchNN(N, List<Integer>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Performs a batch k-nearest neigbor query for a list of query objects.

batchNN(N, SpatialDistanceFunction<O, D>, Map<Integer, KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Performs a batch knn query.

bestSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

Indicates whether the sorting according to maximal or to minimal value has been used for choosing the split axis and split point.

beta - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Bicluster<V extends RealVector<V,Double>> - Class in de.lmu.ifi.dbs.elki.data.model

Wrapper class to provide the basic properties of a bicluster.

Bicluster(int[], int[], Database<V>) - Constructor for class de.lmu.ifi.dbs.elki.data.model.Bicluster

Defines a new bicluster for given parameters.

BiclusterWithInverted<V extends RealVector<V,Double>> - 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.

BiclusterWithInverted(int[], int[], Database<V>) - Constructor for class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInverted

big - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Holds the value of PCAFilteredRunner.BIG_PARAM.

BIG_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

OptionID for PCAFilteredRunner.BIG_PARAM

BIG_PARAM - 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.math.Histogram.Iter

Current bin number

binsize - Variable in class de.lmu.ifi.dbs.elki.math.Histogram

Width of a bin.

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

Provides a new bit according to the specified boolean value.

Bit(int) - Constructor for class de.lmu.ifi.dbs.elki.data.Bit

Provides a new bit according to the specified integer value.

bit - Variable in class de.lmu.ifi.dbs.elki.data.Bit

Internal representation of the bit value.

BIT_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.data.Bit

Pattern defining valid bit values.

BitDistance - Class in de.lmu.ifi.dbs.elki.distance

Provides a Distance for a bit-valued distance.

BitDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.BitDistance

Empty constructor for serialization purposes.

BitDistance(boolean) - Constructor for class de.lmu.ifi.dbs.elki.distance.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.

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.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(List<Bit>) - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector

Provides a new BitVector corresponding to the bits in the given list.

BitVectorLabelParser - Class in de.lmu.ifi.dbs.elki.parser

Provides a parser for parsing one BitVector per line, bits separated by whitespace.

BitVectorLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.BitVectorLabelParser

Provides a parser for parsing one BitVector per line, bits separated by whitespace.

BreadthFirstEnumeration<O extends DatabaseObject,N extends Node<N,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(TreeIndex<O, N, E>, TreeIndexPath<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.

breakLine(String, int) - Method in class de.lmu.ifi.dbs.elki.utilities.output.PrettyPrinter

Breaks a line at near line-end spaces fitting to width of columnWidth[column].

bubbleUp() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Reestablishes the min-max ordering after insertion of a new element.

bubbleUpMax(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Bubbles up a maximum.

bubbleUpMin(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Bubbles up a minimum.

buildDB(int, Matrix, Set<Integer>, Database<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(Database<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(Database<ParameterizationFunction>, Set<Integer>) - 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(SortedMap<Integer, List<Cluster<CorrelationModel<V>>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

buildHierarchy(Database<V>, DiSHDistanceFunction<V, DiSHPreprocessor<V, ?>>, List<Cluster<AxesModel>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Builds the cluster hierarchy

buildParameterIndex(HashMapList<Class<?>, Option<?>>, HashMapList<OptionID, Pair<Option<?>, Class<?>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

bulk - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

If true, a bulk load will be performed.

BULK_LOAD_FLAG - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

Parameter for bulk loading

BULK_LOAD_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

OptionID for SpatialIndex.BULK_LOAD_FLAG

BULK_LOAD_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

OptionID for SpatialIndex.BULK_LOAD_STRATEGY_PARAM

BULK_LOAD_STRATEGY_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

Parameter for bulk strategy

bulkKNNQueryForID(List<Integer>, int, DistanceFunction<O, D>) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Performs k-nearest neighbor queries for the given object IDs.

bulkKNNQueryForID(List<Integer>, int, DistanceFunction<O, T>) - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase

bulkKNNQueryForID(List<Integer>, int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.SequentialDatabase

Retrieves the k nearest neighbors for the query objects.

bulkKNNQueryForID(List<Integer>, int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase

bulkKNNQueryForIDs(List<Integer>, int, SpatialDistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Performs a bulk k-nearest neighbor query for the given object IDs.

bulkKNNQueryForIDs(List<Integer>, int, SpatialDistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

Performs a bulk k-nearest neighbor query for the given object IDs.

bulkLoad(List<O>) - 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<O>) - 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<O>) - 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.

bulkLoadStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

The strategy for bulk load.

BulkSplit<N extends SpatialObject> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Encapsulates the required parameters for a bulk split of a spatial index.

BulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit

Constructor

BulkSplit.Strategy - Enum in de.lmu.ifi.dbs.elki.index.tree.spatial

Available strategies for bulk loading.

BulkSplit.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit.Strategy

ByLabelClustering<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Pseudo clustering using labels.

ByLabelClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering

ByLabelHierarchicalClustering<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Pseudo clustering using labels.

ByLabelHierarchicalClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelHierarchicalClustering

byteArrayToPage(byte[]) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile

Reconstruct a serialized object from the specified byte array.

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

Class with various utilities for manipulating byte arrays.

ByteArrayUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

byteValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

Returns the byte value of this.doubleValue().