Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures
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().

Release 0.2 (2009-07-06_1820)
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 _