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 _

R

random(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Generate matrix with random elements

RANDOM_SAMPLE_FLAG - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Flag to use random sample (use knn query around centroid, if flag is not set).

randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

randomInstance(Bit, Bit, Random) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

Returns the same as randomInstance(Random).

randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

Returns a new DoubleVector with values between 0 and 1.

randomInstance(Double, Double, Random) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

randomInstance(Random) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a FeatureVector of T with uniformly distributed (0-1) random values.

randomInstance(N, N, Random) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a FeatureVector of T with random values between min and max.

randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

Returns a new FloatVector with values between 0 and 1.

randomInstance(Float, Float, Random) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

randomInstance(Random) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

randomInstance(Double, Double, Random) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

randomNormalizedVector(int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns a randomly created vector of length 1.0

randomSample(int, long) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

randomSample(int, long) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Returns a random sample of k ids.

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

Performs a range query for the given object ID with the given epsilon range and the according distance function.

rangeQuery(Integer, String, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.database.InvertedListDatabase

Performs a range query for the given object ID with the given epsilon range and the according distance function.

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

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

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

rangeQuery(O, String) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex

Performs a range query for the given object with the given epsilon range and the according distance function.

rangeQuery(O, String) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Performs a range query for the given spatial object with the given epsilon range and the according distance function.

rangeQuery(O, String, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Performs a range query for the given spatial objec with the given epsilon range and the according distance function.

rangeQuery(O, String, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

Performs a range query for the given object with the given epsilon range and the according distance function.

RangeQueryBasedHiCOPreprocessor<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.preprocessing

Computes the HiCO correlation dimension of objects of a certain database.

RangeQueryBasedHiCOPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor

Provides a new Preprocessor that computes the correlation dimension of objects of a certain database based on a range query.

rangeQueryDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

The distance function for the variance analysis.

rank - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

The rank of the coefficient matrix.

rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Matrix rank

rank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Effective numerical matrix rank

ratio(int, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharingDependentItemsetDistanceFunction

Returns 1 if card is 0, i divided by card otherwise.

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

RationalNumber represents rational numbers in arbitrary precision.

RationalNumber(BigInteger, BigInteger) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber

Constructs a RationalNumber for a given numerator and denominator.

RationalNumber(long, long) - Constructor for class de.lmu.ifi.dbs.elki.data.RationalNumber

Constructs a RationalNumber for a given numerator and denominator.

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

Constructs a RationalNumber out of the given double number.

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

Constructs a RationalNumber for a given String representing a double.

Rdiag - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Array for internal storage of diagonal of R.

RdKNNDirectoryEntry<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Represents an entry in a directory node of an RdKNN-Tree.

RdKNNDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

Empty constructor for serialization purposes.

RdKNNDirectoryEntry(int, HyperBoundingBox, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

Constructs a new RDkNNDirectoryEntry object with the given parameters.

RdKNNEntry<D extends NumberDistance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Defines the requirements for an entry in an RdKNN-Tree node.

RdKNNLeafEntry<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Represents an entry in a leaf node of an RdKNN-Tree.

RdKNNLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry

Empty constructor for serialization purposes.

RdKNNLeafEntry(int, double[], D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry

Constructs a new RDkNNLeafEntry object with the given parameters.

RdKNNNode<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Represents a node in a RDkNN-Tree.

RdKNNNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

Empty constructor for Externalizable interface.

RdKNNNode(PageFile<RdKNNNode<D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

Creates a new RdKNNNode object.

RdKNNTree<O extends NumberVector<O,?>,D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

RDkNNTree is a spatial index structure based on the concepts of the R*-Tree supporting efficient processing of reverse k nearest neighbor queries.

RdKNNTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Creates a new DeLiClu-Tree.

RdKNNTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Encapsulates the header information of a RDkNN-Tree.

RdKNNTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

Empty constructor for serialization.

RdKNNTreeHeader(int, int, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

Creates a nerw header with the specified parameters.

reachability - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrderEntry

The reachability of the entry.

read(BufferedReader) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Read a matrix from a stream.

readAccess - Variable in class de.lmu.ifi.dbs.elki.persistent.PageFile

The read I/O-Access of this file.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractEntry

Restore the id of the object (node or data object) that is represented by this entry from the specified stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Reads the id of this node, the numEntries and the entries array from the specified stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppDirectoryEntry

Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppLeafEntry

Calls the super method and reads the the polynomial approximation of the knn distances of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.PolynomialApproximation

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.ApproximationLine

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPDirectoryEntry

Calls the super method and reads the the conservative approximation of the knn distances of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPLeafEntry

Calls the super method and reads the the conservative and progressive approximation of the knn distances of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxDirectoryEntry

Calls the super method and reads the knn distance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxLeafEntry

Calls the super method and reads the knn distance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabDirectoryEntry

Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabLeafEntry

Calls the super method and reads the parameter k_max and knn distance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Calls the super method and reads the routingObjectID, the parentDistance and the coveringRadius of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Calls the super method and reads the parentDistance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

Calls the super method and reads the knn distance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry

Calls the super method and reads the knn distance of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

Calls the super method and reads the MBR object of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialLeafEntry

Calls the super method and reads the values of this entry from the specified input stream.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPage

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readExternal(ObjectInput) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

The object implements the readExternal method to restore its contents by calling the methods of DataInput for primitive types and readObject for objects, strings and arrays.

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeHeader

Initializes this header from the specified file,

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

Initializes this header from the specified file,

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Initializes this header from the specified file,

readHeader(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

Initializes this header from the specified file,

readHeader(RandomAccessFile) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader

Initializes this header from the specified file,

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile

Reads the page with the given id from this file.

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile

Reads the page with the given id from this file.

readPage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Reads the page with the given id from this file.

readResolve() - Method in class de.lmu.ifi.dbs.elki.utilities.ConstantObject

Method for use by the serialization mechanism to ensure identity of ConstantObjects.

RealVector<V extends RealVector<V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.data

RealVector is an abstract super class for all feature vectors having real numbers as values.

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

RealVectorLabelParser<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.parser

Provides a parser for parsing one point per line, attributes separated by whitespace.

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

Provides a parser for parsing one point per line, attributes separated by whitespace.

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

Parser reads points transposed.

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

Provides a parser to read points transposed (per column).

ReciprocalSupportDependentItemsetDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.

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

Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.

reducedRowEchelonForm - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Indicates if linear equation system is in reduced row echelon form.

reducedRowEchelonForm(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Brings this linear equation system into reduced row echelon form with choice of pivot method.

reference - Variable in class de.lmu.ifi.dbs.elki.utilities.Description

A reference how to cite an algorithm.

reInsert(N, int, TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Reinserts the specified node at the specified level.

reinsertExpanded(SpatialDistanceFunction<O, D>, DeLiCluTree<O>, List<TreeIndexPathComponent<DeLiCluEntry>>, KNNJoinResult<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Reinserts the objects of the already expanded nodes.

reinsertExpanded(SpatialDistanceFunction<O, D>, DeLiCluTree<O>, List<TreeIndexPathComponent<DeLiCluEntry>>, int, SpatialEntry, KNNJoinResult<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

reinsertions - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Contains a boolean for each level of this R*-Tree that indicates if there was already a reinsert operation in this level during the current insert / delete operation.

remove(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache

Removes an object from this cache.

remove(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

Removes a page from this cache.

remove(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

Removes the given option from the OptionHandler's parameter map.

removeDatabaseListener(DatabaseListener) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Removes a listener previously added with addTreeModelListener.

removeDatabaseListener(DatabaseListener) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Removes a listener previously added with addTreeModelListener.

removeID(Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCluster

Removes the specified id from the list of ids of this cluster.

removeIDs(Set) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Removes the specified ids from this interval.

removeMin() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Removes and returns the minimum node from this heap and restores the heap.

representations - Variable in class de.lmu.ifi.dbs.elki.data.MultiRepresentedObject

Holds the different representations of this object.

RepresentationSelectingDistanceFunction<O extends DatabaseObject,M extends MultiRepresentedObject<O>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Distance function for multirepresented objects that selects one representation and computes the distances only within the selected representation.

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

Provides a Distance function for multirepresented objects that selects one represenation and computes the distances only within the selected representation.

requiredInputPattern() - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

requiredInputPattern() - Method in interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

Returns a String as description of the required input format.

reset() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Resets the value of the parameter to null.

resetIOAccess() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Resets the I/O-Access of this heap.

resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.database.IndexDatabase

Resets the page -access of this database.

resetPageAccess() - Method in interface de.lmu.ifi.dbs.elki.index.Index

Resets the three counters for page access, i.e., the counters for physical read and write access, and the counter for logical page access.

resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Resets the counters for page access.

resetPageAccess() - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache

Resets the pages access of this cache.

resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

Resets the pages access of this cache.

resetPageAccess() - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile

Resets the counters for page accesses of this file and flushes the cache.

restore(V) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

restore(List<V>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

restore(List<O>) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization

restore(O) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization

restore(List<MultiRepresentedObject<O>>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Transforms a set of feature vectores to the original attribute ranges.

restore(MultiRepresentedObject<O>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Transforms a feature vector to the original attribute ranges.

restore(List<O>) - Method in interface de.lmu.ifi.dbs.elki.normalization.Normalization

Transforms a set of feature vectores to the original attribute ranges.

restore(O) - Method in interface de.lmu.ifi.dbs.elki.normalization.Normalization

Transforms a feature vector to the original attribute ranges.

restoreID(Integer) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Makes the given id reusable for new insertion operations.

restoreObject(String) - Method in interface de.lmu.ifi.dbs.elki.utilities.output.ObjectPrinter

Restores the object which is specified by the given String.

restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassListParameter

The restriction class for the list of class names.

restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

The restriction class for this class parameter.

restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalDistanceFunctionPatternConstraint

Class parameter whose restriction class is used to check the validity of the pattern parameter.

restrictionString(Class) - Method in class de.lmu.ifi.dbs.elki.properties.Properties

Provides a description string listing all classes for the given superclass or interface as specified in the properties.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

The result.

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

Keeps the result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

The result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA

Holds the result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Holds the result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Provides the result of the algorithm.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Keeps the result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans

Keeps the result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Provides the result of the algorithm.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Provides the result of the algorithm.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Provides the result of the algorithm.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

The result of the algorithm;

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Holds the result;

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering

The result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder

Holds the result.

result - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin

The knn lists for each object.

Result<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.algorithm.result

Specifies the requirements to a printable result of some algorithm.

resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds a list of clusters found.

resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Holds a list of clusters found.

resultList - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Holds a list of clusters found.

reusableIDs - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Provides a list of reusable ids.

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

Performs a reverse k-nearest neighbor query for the given object ID.

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

Performs a reverse k-nearest neighbor query for the given object ID.

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

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

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

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int, DistanceFunction<O, T>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Performs a reverse k-nearest neighbor query for the given object ID.

reverseKNNQuery(O, int, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

Performs a reverse k-nearest neighbor query for the given object ID.

rhs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

The right hand side of the equation system.

rightChild - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Holds the right child.

rightChild(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Return the index of the right child of of the node at index i, nullIndex if there is no such child.

rightChild(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Returns the right child of the specified deap in this heap.

rightNeighbour(CLIQUEUnit, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

Returns the right neighbor of the given unit in the specified dimension.

RkNNStatistic - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop

Provides some statistics about performed reverse nn queries.

RkNNStatistic() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.RkNNStatistic

RkNNStatistic - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util

Provides some statistics about performed reverse nn queries.

RkNNStatistic() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.RkNNStatistic

rkNNStatistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

Provides some statistics about performed reverse knn-queries.

rkNNStatistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Provides some statistics about performed reverse knn-queries.

rootClusters - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalClusters

The root clusters.

rootEdge - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

The edge leading from the previous node to the current node.

rootEdges - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

The edges leading from the current node to the root of the tree.

rootEntry - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

The entry representing the root node.

routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

The id of routing object of this entry.

routingObjectID - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.PQNode

The id of the routing object.

row - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Encodes row permutations, row i is at position row[i].

ROW_ID - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

The association id to associate a row id to an object.

rowdimension - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Row dimension.

rowIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

The row ids corresponding to the currently set AbstractBiclustering.database.

rowIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

The ids of the rows included in the bicluster.

rowIterator() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

Provides an iterator for the row ids.

rowPos - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixPosition

RStarTree<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

RStarTree is a spatial index structure based on the concepts of the R*-Tree.

RStarTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Creates a new RStar-Tree.

RStarTreeNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

Represents a node in an R*-Tree.

RStarTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode

Empty constructor for Externalizable interface.

RStarTreeNode(PageFile<RStarTreeNode>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode

Creates a new RStarTreeNode with the specified parameters.

run(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

Calls the runInTime()-method of extending classes.

run(Database<O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

Runs the algorithm.

run() - Method in class de.lmu.ifi.dbs.elki.KDDTask

Method to run the specified algorithm using the specified database connection.

run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.FracClusPreprocessor

run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor

This method determines the correlation dimensions of the objects stored in the specified database and sets the necessary associations in the database.

run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor

run(Database<O>, boolean, boolean) - Method in interface de.lmu.ifi.dbs.elki.preprocessing.Preprocessor

This method executes the actual preprocessing step of this Preprocessor for the objects of the specified database.

run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

run(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor

Annotates the nearest neighbors based on the values of SharedNearestNeighborsPreprocessor.numberOfNeighbors and SharedNearestNeighborsPreprocessor.distanceFunction to each database object.

run(Database<O>) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.GlobalPCA

Computes the principal components for objects of the given database.

run(Matrix) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.GlobalPCA

Computes the principal components for objects of the given matrix.

run(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Performs a LocalPCA for the object with the specified ids stored in the given database.

runDerivator(Database<ParameterizationFunction>, int, CASHInterval, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Runs the derivator on the specified inerval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.

runDerivator(Database<ParameterizationFunction>, int, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

Runs the derivator on the specified inerval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

The run method encapsulated in measure of runtime.

runInTime(Database<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Prepares the algorithm for running on a specific database.

runInTime(Database<ParameterizationFunction>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

The run method encapsulated in measure of runtime.

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

The run method encapsulated in measure of runtime.

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Performs the DBSCAN algorithm on the given database.

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Performs the EM clustering algorithm on the given database.

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans

Performs the k-means algorithm on the given database.

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Runs the algorithm.

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Performs the SNN clustering algorithm on the given database.

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Performs the CLIQUE algorithm on the given database.

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

The run method encapsulated in measure of runtime.

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Runs the pca.

runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder

runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin

Runs the algorithm.

runPartitionAlgorithm(Database<V>, Map<Integer, List<Integer>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA

Runs the partition algorithm and creates the result.

runPartitionAlgorithm(Database<V>, Map<Integer, List<Integer>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

runPreprocessor(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Runs the preprocessor on the database if the omit flag is not set or the database does contain the association id neither for any id nor as global association.

runVarianceAnalysis(Integer, List<QueryResult<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor

This method implements the type of variance analysis to be computed for a given point.

runVarianceAnalysis(Integer, List<QueryResult<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor

This method implements the type of variance analysis to be computed for a given point.

runVarianceAnalysis(Integer, List<QueryResult<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor

TODO provide correct commentary This method implements the type of variance analysis to be computed for a given point.

runVarianceAnalysis(Integer, List<QueryResult<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

This method implements the type of variance analysis to be computed for a given point.