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.mkapp.PolynomialApproximation

The parameters b0, ..., bp.

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.MTreeSplit

Creates a balanced partition of the entries of the specified node.

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

The matrix defining the subspace of this cluster.

BASIS_VECTORS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCorrelationClusters

Indicating the basis vectors of a cluster in the string representation.

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

Performs a batch knn query.

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 wether the sorting according to maximal or to minmal value has been used for chosing the split axis and split point.

Bicluster<V extends RealVector<V,Double>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering

Wrapper class to provide the basic properties of a bicluster.

Bicluster(int[], int[], Database<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

Defines a new bicluster for given parameters.

biclustering() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Any concrete biclustering algorithm should be implemented within this method.

Biclustering<V extends RealVector<V,Double>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering

A Biclustering result holds a set of biclusters.

Biclustering(Database<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Biclustering

Provides a Result.

BiclusteringTree - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering

Provides a treeStructure with BitSets as nodes and Integers as edges.

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

Constructor creating a new RootTree-Object.

biclusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Biclustering

Holds the set of biclusters.

big - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Holds the big value.

BIG_ID - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

OptionID for LocalPCA.BIG_PARAM

BIG_PARAM - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Parameter to specify a constant big value to reset high eigenvalues, must be a double greater than 0.

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 - Variable in class de.lmu.ifi.dbs.elki.distance.BitDistance

The bit value of this distance.

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

TODO arthur comment

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

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

bits - Variable in class de.lmu.ifi.dbs.elki.data.BitVector

Storing the bits.

BitSetComparator - Class in de.lmu.ifi.dbs.elki.data

BitSetComparator to compare BitSets.

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

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

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.

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.

blanks(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.output.Format

Returns a string with the specified number of blanks.

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.

BreadthFirstEnumeration<E extends Enumeratable<E>> - Class in de.lmu.ifi.dbs.elki.utilities

Provides a breadth first enumeration over enumeratable objects.

BreadthFirstEnumeration(E) - Constructor for class de.lmu.ifi.dbs.elki.utilities.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.result.clustering.SubspaceClusterMap

Builds a database for the derivator consisting of the ids in the specified interval.

buildHierarchy(int, SortedMap<Integer, List<HierarchicalCorrelationCluster<V>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

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

Builds the cluster hierarchy

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

If true, a bulk load will be performed.

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

Description for parameter bulk.

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

Option string for parameter bulk.

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

Description for parameter bulkstrategy.

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

Option string for parameter bulkstrategy.

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, D>) - Method in class de.lmu.ifi.dbs.elki.database.InvertedListDatabase

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

bulkKNNQueryForID(List<Integer>, int, DistanceFunction<O, D>) - 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

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 - 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

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

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

Reconstruct a serialized object from the specified byte array.

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

Returns the byteValue of this.doubleValue().