Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

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.
RandomGeneratedReferencePoints<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints
Reference points generated randomly within the used data space.
RandomGeneratedReferencePoints(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints
Constructor, adhering to Parameterizable
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 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 interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns a NumberVector of V with uniformly distributed (0-1) random values.
randomInstance(N, N, Random) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns a NumberVector of V with random values between min and max.
randomInstance(V, V, Random) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns a NumberVector of V with random values between min and max.
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 NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.parser.meta
A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.
RandomProjectionParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser
Constructor, adhering to Parameterizable
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.
RandomSampleReferencePoints<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints
Random-Sampling strategy for picking reference points.
RandomSampleReferencePoints(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints
Constructor, adhering to Parameterizable
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, D, 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, T, 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, D, 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(Integer, D, 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, D) - 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, D) - 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, D, 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.
rangeQuery(O, D, 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.
RangeQueryBasedLocalPCAPreprocessor<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.preprocessing
Provides the local neighborhood to be considered in the PCA as the neighbors within an epsilon range query of an object.
RangeQueryBasedLocalPCAPreprocessor(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedLocalPCAPreprocessor
Constructor, adhering to Parameterizable
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 DatabaseObject,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Evaluate a distance function with respect to kNN queries.
RankingQualityHistogram(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
Constructor, adhering to Parameterizable
ratio - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
 
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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Constructor, adhering to Parameterizable
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.
REACHABILITY_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult
Association ID for reachability distance.
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.
readEmptyPages(RandomAccessFile) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader
Read the empty pages from the end of file.
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.AbstractRStarTreeNode
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.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.
recalcViewbox() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Recompute the view box of the plot.
recDrawEdges(SVGPath, DoubleDoublePair, ArrayList<DoubleDoublePair>, int, BitSet) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeMBRVisualizer
 
reconfig - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.DefaultAdapter
Track parameters for subclasses for "replay".
reconfig - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.OutlierScoreAdapter
Track parameters for subclasses for "replay".
reconfigureLogging(String, String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration
Reconfigure logging.
recordsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Size of the records in the file.
RedrawListener - Interface in de.lmu.ifi.dbs.elki.visualization.visualizers
Listener for Redraw events.
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 - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation
Annotation to specify a reference.
REFERENCE_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP
OptionID for LoOP.REFERENCE_DISTANCE_FUNCTION_PARAM
REFERENCE_DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP
The distance function to determine the reachability distance between database objects.
REFERENCE_POINTS - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Reference points color and size
ReferenceBasedOutlierDetection<V extends NumberVector<V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.
ReferenceBasedOutlierDetection(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
Constructor, adhering to Parameterizable
ReferencePointsAdapter<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.adapter
Adapter to generate a reference points visualizer when reference points were found in the data.
ReferencePointsAdapter() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ReferencePointsAdapter
Constructor.
ReferencePointsHeuristic<O extends NumberVector<O,?>> - Interface in de.lmu.ifi.dbs.elki.utilities.referencepoints
Simple Interface for an heuristic to pick reference points.
ReferencePointsResult<O> - Class in de.lmu.ifi.dbs.elki.result
Result used in passing the reference points to the visualizers.
ReferencePointsResult(Collection<O>) - Constructor for class de.lmu.ifi.dbs.elki.result.ReferencePointsResult
Constructor with collection only.
ReferencePointsResult(Collection<O>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.ReferencePointsResult
Full constructor.
referencePointsVisualizer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ReferencePointsAdapter
Prototype for parameterization
ReferencePointsVisualizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d
Generates a SVG-Element visualizing reference points.
ReferencePointsVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ReferencePointsVisualizer
 
REFOD_SCORE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
The association id to associate the REFOD_SCORE of an object for the Reference based outlier detection algorithm.
refp - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
Stores the reference point strategy
REFP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
OptionID for ReferenceBasedOutlierDetection.REFP_PARAM
REFP_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
Parameter for the reference points heuristic.
REFPOINT - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ReferencePointsVisualizer
Generic tag to indicate the type of element.
refresh() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Do a refresh (when visibilities have changed).
reinitialize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Refresh the overview plot.
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.
relativeCubicTo(double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Cubic Bezier line to the given relative coordinates.
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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter
Constructor, adhering to Parameterizable
relativeHorizontalLineTo(double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a horizontal line to the given relative x coordinate.
relativeLineTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line to the given relative coordinates.
relativeMoveTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Move to the given relative coordinates.
relativeQuadTo(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Quadratic Bezier line to the given relative coordinates.
relativeSmoothCubicTo(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Smooth Cubic Bezier line to the given relative coordinates.
relativeSmoothQuadTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Smooth quadratic Bezier line to the given relative coordinates.
relativeVerticalLineTo(double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a vertical line to the given relative y coordinate.
REMAINING_OPTIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
OptionID for unrecognized options.
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(String) - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile
Remove a given key from the file.
remove() - Method in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram.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() - Method in class de.lmu.ifi.dbs.elki.utilities.IterableIteratorAdapter
 
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.FullDatabaseReferencePoints.DatabaseProxy.ProxyIterator
 
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList.InvItr
 
remove() - Method in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList.Itr
 
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.
removeCompleted() - Method in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker
Remove completed progresses.
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.
removeRedrawListener(RedrawListener) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualizer
Remove a redraw listener to the visualizer.
removeRedrawListener(RedrawListener) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualizer
Remove a redraw listener to the visualizer.
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.
replace(double, T) - Method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram
 
replace(double, T) - Method in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram
Put data at a given coordinate.
replaceDefaultHandler(Handler) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration
Replace the default log handler with the given log handler.
ReplacingHistogram<T> - Class in de.lmu.ifi.dbs.elki.math
Class to manage a simple Histogram.
ReplacingHistogram(int, double, double, ReplacingHistogram.Adapter<T>) - Constructor for class de.lmu.ifi.dbs.elki.math.ReplacingHistogram
Histogram constructor
ReplacingHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.ReplacingHistogram
Histogram constructor without 'Constructor' to generate new elements.
ReplacingHistogram.Adapter<T> - Class in de.lmu.ifi.dbs.elki.math
Interface to plug in a data type T.
ReplacingHistogram.Adapter() - Constructor for class de.lmu.ifi.dbs.elki.math.ReplacingHistogram.Adapter
 
ReplacingHistogram.Iter - Class in de.lmu.ifi.dbs.elki.math
Iterator class to iterate over all bins.
ReplacingHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.math.ReplacingHistogram.Iter
 
replot() - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
Trigger a redraw of the OPTICS plot
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
Report a configuration error.
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization
Report a configuration error.
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
 
reportError(ParameterException) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization
Report a configuration error.
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
 
reportError(ParameterException) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
 
reportErrors(SerializedParameterization) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
Report errors in a single error log record.
reportInternalParameterizationErrors(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
Report the internal parameterization errors to another parameterization
representations - Variable in class de.lmu.ifi.dbs.elki.data.MultiRepresentedObject
Holds the different representations of this object.
requestRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualizer
Request a redraw Note: this method may be overwritten by subclasses for custom redraw handling, or called by other classes when they know the underlying data has changed.
requiredInputPattern() - Method in class de.lmu.ifi.dbs.elki.distance.AbstractDistance
 
requiredInputPattern() - Method in interface de.lmu.ifi.dbs.elki.distance.Distance
Returns a String as description of the required input format.
res - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale
Scale resolution
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.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalDistanceFunctionPatternConstraint
Deprecated. Class parameter whose restriction class is used to check the validity of the pattern parameter.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter
The restriction class for the list of class names.
restrictionClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter
The restriction class for this class parameter.
restrictionString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.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.clustering.subspace.SUBCLU
Holds the result;
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 - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Result we work on.
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterOrderVisualizer
The result we visualize
result - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerContext
The full result object
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.
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.
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
 
ResultVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.gui
Handler to process and visualize a Result.
ResultVisualizer(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer
Constructor, adhering to Parameterizable
ResultWindow - Class in de.lmu.ifi.dbs.elki.visualization.gui
Swing window to manage a particular result visualization.
ResultWindow(String, Database<? extends DatabaseObject>, MultiResult, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
Constructor.
ResultWriter<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.result
Result handler that feeds the data into a TextWriter
ResultWriter(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.result.ResultWriter
Constructor, adhering to Parameterizable
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.
rewind() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
Rewind the configuration to the initial situation
RGBHistogramQuadraticDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
Distance function for RGB color histograms based on a quadratic form and color similarity.
RGBHistogramQuadraticDistanceFunction(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction
Constructor, adhering to Parameterizable
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.roc.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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree
Constructor, adhering to Parameterizable
RStarTreeAdapter - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.adapter
Adapter that will look for an AbstractRStarTree to visualize
RStarTreeAdapter() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.RStarTreeAdapter
Constructor.
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.ComputeSingleColorHistogram
 
run() - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec
Runs the wrapper with the specified arguments.
run() - Method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication
 
run(Database<O>, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
Process the given Database and distance function.
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.HiSCPreprocessor
 
run(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.preprocessing.LocalPCAPreprocessor
Performs for each object of the specified database a filtered PCA based on the local neighborhood of the object.
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 particular 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.AttributeModifier
 
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer.JSVGSynchronizedRunner
 
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
 
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceChild
 
run() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
 
run() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot.ThumbnailThread
 
runButton - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
The "run" button.
runCLIApplication(Class<?>, String[]) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication
Generic command line invocation.
runDBSCAN(Database<V>, List<Integer>, Subspace<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.
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.HiCO
 
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.HiSC
 
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<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
Performs the SUBCLU 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<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.MetaMultiAlgorithm
 
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.AbstractDBOutlier
Runs the algorithm in the timed evaluation part.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier
Runs the algorithm in the timed evaluation part.
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel
 
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture
 
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO
 
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNOutlier
Runs the algorithm in the timed evaluation part.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.KNNWeightOutlier
Runs the algorithm in the timed evaluation part.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LDOF
 
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<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP
Performs the LoOP algorithm on the given database.
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF
 
runInTime(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
Runs the algorithm in the timed evaluation part.
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.histogram.ComputeOutlierHistogram
 
runInTime(Database<O>) - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve
 
runner - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Registers changes of this SVGPlot.
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>) - 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.
runQueue() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner
Run the processing queue now.
runTask() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
Do a full run of the KDDTask with the specified parameters.
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.

Release 0.3 (2010-03-31_1612)
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