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

ralpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

The noise tolerance level for weak eigenvectors

RALPHA_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

Parameter relative alpha.

random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution

The random generator.

random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution

The random generator.

random - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Random generator (used for initializing random generators)

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

Generate matrix with random elements

random - Variable in class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser

Holds a random object.

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).

randomBitSet(int, int, Random) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Creates a new BitSet of fixed cardinality with randomly set bits.

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

Returns a BitVector with random values.

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

Returns the same as randomInstance(random).

randomInstance(BitVector, BitVector, 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 random values between 0 and 1.

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

randomInstance(DoubleVector, DoubleVector, 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 V 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 V with random values between min and max.

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

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

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

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

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

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

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

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

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

Returns a randomly created vector of length 1.0

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

A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.

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

Adds the parameter RandomProjectionParser.NUMBER_SELECTED_ATTRIBUTES_PARAM.

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.

RANDOMSEED_ID - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

OptionID for GeneratorXMLSpec.RANDOMSEED_PARAM

RANDOMSEED_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Parameter to give the configuration file

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, 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

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

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

rangeQuery(O, String, SpatialDistanceFunction<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

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

The association id to associate a set of neighbors for use of the shared nearest neighbor similarity function.

RankingQualityHistogram<V extends RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Evaluate a distance function with respect to kNN queries.

RankingQualityHistogram() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram

Empty constructor.

ratio - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow

ratio - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

Ratio for easier size adjustment

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,N>,N extends Number> - 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,N>,N extends Number> - 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,N>,N extends Number> - 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,N>,N extends Number> - 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, N>>, 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,N>,N extends Number> - 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 new header with the specified parameters.

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

The reachability of the entry.

REACHABILITY_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF

OptionID for LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM

REACHABILITY_DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF

The distance function to determine the reachability distance between database objects.

reachabilityDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF

Holds the instance of the reachability distance function specified by LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM.

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.

readDouble(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

Read a double from the byte array at the given offset.

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

Reads the bit value of this BitDistance from the specified stream.

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

Reads the correlation value and the euclidean value of this CorrelationDistance from the specified stream.

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

Reads the double value of this DoubleDistance from the specified stream.

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

Reads the float value of this FloatDistance from the specified stream.

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

Reads the integer value of this IntegerDistance from the specified stream.

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

Calls CorrelationDistance.readExternal(java.io.ObjectInput) and reads additionally the dimensionality and each Byte of the common preference vector from the specified stream..

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

Reads the subspace distance value and the affine distance value of this SubspaceDistance from the specified stream.

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

Restores 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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.mktrees.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.

readExtraHeader() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Read the extra header data.

readFloat(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

Read a float from the byte array at the given offset.

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

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

Initializes this header from the given Byte array.

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

Initializes this header from the specified file.

readHeader(byte[]) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader

Initializes this header from the specified file.

readInt(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

Read an integer from the byte array at the given offset.

readLong(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

Read a long from the byte array at the given offset.

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.OnDiskArrayPageFile

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.

readRecord(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Read a single record from the file.

readRecord(int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Get data from the matrix

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

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

readShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

Read a short from the byte array at the given offset.

readUnsignedShort(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ByteArrayUtil

Read an unsigned short from the byte array at the given offset.

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<?,?>> - 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.

recordsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Size of the records in the file.

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>>, AnnotationResult<KNNList<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, AnnotationResult<KNNList<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.

RelativeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

The RelativeEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs who are a certain factor above the average of the remaining eigenvalues.

RelativeEigenPairFilter() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

Provides a new EigenPairFilter that sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as string eigenpairs.

remainingParameters - Variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication

The remaining parameters after the option handler grabbed the options for this application.

rememberParametersExcept(List<String>, List<String>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Sets the difference of the first array minus the second array as the currently set parameter array.

remove() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter

remove() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter

remove() - Method in class de.lmu.ifi.dbs.elki.math.Histogram.Iter

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() - Method in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations

Removals are not supported by this iterator.

remove(K, V) - Method in class de.lmu.ifi.dbs.elki.utilities.HashMapList

Remove a single value from the map.

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.JarClassIterator

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

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

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator

Removal: unsupported operation.

remove() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator

Removal: unsupported operation.

removeClass(CSSClass) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Remove a single CSS class from the map.

RemoveCSSClass - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

Remove a CSS class to the event target.

RemoveCSSClass(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.RemoveCSSClass

Constructor

removeCSSClass(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Remove a CSS class from an Element.

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.

removeIDs(Set<Integer>) - 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.

removeOption(Option<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Deletes the given Option from the set of Options known to this Parameterizable.

removeParameterizable(Parameterizable) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Remove a parameterizable from the list.

removeStatement(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Remove a CSS statement.

reorderAxesTransformation(int, int[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

Generate a transformation that reorders axes in the given way.

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 representation 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.

res - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale

Scale resolution

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

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.

resetSizeButton - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

resizeFile(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Resize file to the intended size

resizeMatrix(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Resize the matrix to cover newsize x newsize.

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

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

restore(int, double) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

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

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

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 vectors 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.utilities.optionhandling.ClassParameter

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.ByLabelClustering

Holds the result of the algorithm.

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

Holds the result of the algorithm.

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.COPAC

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.clustering.TrivialAllInOne

Holds the result of the algorithm.

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

Holds the result of the algorithm.

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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances

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

Result storage.

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

Provides the result of the algorithm.

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

Provides the result of the algorithm.

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

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

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

result - Variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

Stores the result object.

result - Variable in class de.lmu.ifi.dbs.elki.KDDTask

Store the result.

Result - Interface in de.lmu.ifi.dbs.elki.result

Interface for all classes that are considered a result.

RESULT_HANDLER - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

OptionID for KDDTask.RESULT_HANDLER_PARAM

RESULT_HANDLER_PARAM - Variable in class de.lmu.ifi.dbs.elki.KDDTask

Parameter to specify the result handler to be used, must extend ResultHandler.

resulthandler - Variable in class de.lmu.ifi.dbs.elki.KDDTask

Output handler.

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

Interface for any class that can handle results

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.

ResultROCCurveVisualizer<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.visualization

Visualize a ROC curve.

ResultROCCurveVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer

ResultROCCurveVisualizer.ROCWindow - Class in de.lmu.ifi.dbs.elki.visualization

ResultROCCurveVisualizer.ROCWindow(Iterable<Pair<Double, Double>>) - Constructor for class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow

results - Variable in class de.lmu.ifi.dbs.elki.result.MultiResult

Store the actual results

results - Variable in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic

The overall number of the result objects after refinement plus the true hits.

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

Returns the ids of the objects and distances stored in the specified database to be considered within the PCA for the specified object id.

resultsForPCA(Integer, Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.KnnQueryBasedHiCOPreprocessor

resultsForPCA(Integer, Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor

ResultUtil - Class in de.lmu.ifi.dbs.elki.result

Utilities for handling result objects

ResultUtil() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultUtil

ResultWriter<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.result

Result handler that feeds the data into a TextWriter

ResultWriter() - Constructor for class de.lmu.ifi.dbs.elki.result.ResultWriter

Constructor.

retries - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Retry count

retrieveBaseParsingresult(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.meta.MetaParser

Retrieves the ParsingResult of the base parser.

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

Provides a list of reusable ids.

reverseEigenVectors(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Returns the last n sorted eigenvectors as a matrix.

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, 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.mktrees.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.mktrees.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.mktrees.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.mktrees.mktab.MkTabTree

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

Throws an UnsupportedOperationException since reverse knn queries are not yet supported by an M-Tree.

reverseKNNQuery(O, int, SpatialDistanceFunction<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, SpatialDistanceFunction<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, SpatialDistanceFunction<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.

rightNeighbor(CLIQUEUnit<V>, 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.

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

Provides some statistics about performed reverse knn-queries.

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

Provides some statistics about performed reverse knn-queries.

rmax - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

Holds the value of LOCI.RMAX_PARAM.

RMAX_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

OptionID for LOCI.RMAX_PARAM

RMAX_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.

ROC - Class in de.lmu.ifi.dbs.elki.evaluation.roc

Compute ROC (Receiver Operating Characteristics) curves.

ROC() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

ROC.DistanceResultAdapter<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.evaluation.roc

This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !

ROC.DistanceResultAdapter(Iterator<DistanceResultPair<D>>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter

Constructor

ROC.SimpleAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.roc

This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !

ROC.SimpleAdapter(Iterator<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter

Constructor

ROC_AUC - Static variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

The association id to associate the ROC Area-under-Curve.

root - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Root element of the document.

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.data.model.Bicluster

The ids of the rows included in the bicluster.

rowIterator() - Method in class de.lmu.ifi.dbs.elki.data.model.Bicluster

Provides an iterator for the row ids.

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

Runs the algorithm.

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

Runs the application.

run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

run() - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

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

Runs the wrapper with the specified arguments.

run(Database<O>, DistanceFunction<O, N>) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

run() - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer

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

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

run() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Iterate until convergence, at most 100 times.

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.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 class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor

Annotates the nearest neighbors based on the values of MaterializeKNNPreprocessor.k and MaterializeKNNPreprocessor.distanceFunction to each database object.

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>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.SpatialApproximationMaterializeKNNPreprocessor

Annotates the nearest neighbors based on the values of MaterializeKNNPreprocessor.k and MaterializeKNNPreprocessor.distanceFunction to each database object.

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer

run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible

Run method invoked from the updateManager.

run() - Method in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow

runCLIApplication(String[]) - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Generic command line invocation.

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 interval 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.clustering.correlation.CASH

Runs the derivator on the specified interval 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

Performs the APRIORI algorithm on the given database.

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

Run the actual clustering algorithm.

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

Run the actual clustering algorithm.

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

Performs the CASH algorithm on the given database.

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

Performs the COPAC algorithm on the given database.

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

Performs the ERiC algorithm on the given database.

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

Performs the ORCLUS algorithm on the given database.

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

Performs the DeLiClu algorithm on the given database.

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

Performs the OPTICS algorithm on the given database.

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

Performs the SLINK algorithm on the given database.

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

Performs the DiSH algorithm on the given database.

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

Performs the PROCLUS algorithm on the given database.

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

Run the actual clustering algorithm.

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

Run the actual clustering algorithm.

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

Computes quantitatively linear dependencies among the attributes of the given database based on a linear correlation PCA.

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

Iterates over all points in the database.

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

Provides an order of the kNN-distances for all objects within the specified database.

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

Joins in the given spatial database to each object its k-nearest neighbors.

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

Iterates over all points in the database.

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

Iterates over all points in the database.

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

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

Runs the algorithm in the timed evaluation part.

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

Performs the Generalized LOF_SCORE algorithm on the given database.

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

Performs the SOD algorithm on the given database.

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

Iterates over all points in the database.

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

Run the algorithm.

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

Run the algorithm.

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

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

Runs the partition algorithm and creates the result.

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<DistanceResultPair<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<DistanceResultPair<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<DistanceResultPair<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.

RunWhenReadyAndVisible - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

Wait for the object to get an updateManager, then run.

RunWhenReadyAndVisible() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible

Try to either hook into the UpdateRunnableQueue, or wait for an updateManager to become available.