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 _

S

s - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Array for internal storage of singular values.

SAMPLE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

OptionID for DependencyDerivator.SAMPLE_SIZE_PARAM

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

Optional parameter to specify the treshold for the size of the random sample to use, must be an integer greater than 0.

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

Holds the value of DependencyDerivator.SAMPLE_SIZE_PARAM.

scalarProduct(int, Matrix, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Returns the scalar product of the colA cols of this and the colB col of B.

scalarProduct(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns the scalar product of this vector and the specified vector v.

scaleColumn(int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Scales the specified column with the specified factor.

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

Scales the columns of this matrix with the specified factor.

second - Variable in class de.lmu.ifi.dbs.elki.utilities.IntegerTriple

Second integer.

second - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualGlobalConstraint

Second number parameter.

second - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessGlobalConstraint

Second number parameter.

secondAssignments - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.Assignments

The assignments to the second routing object.

secondCoveringRadius - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.Assignments

The second covering radius.

secondInteger - Variable in class de.lmu.ifi.dbs.elki.utilities.IntegerIntegerPair

selectedLevel - Variable in class de.lmu.ifi.dbs.elki.logging.SelectiveFilter

The level to filter for.

selectionMatrixOfStrongEigenvectors() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Returns a copy of the selection matrix of the strong eigenvectors (E_czech) of this LocalPCA.

selectionMatrixOfWeakEigenvectors() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Returns a copy of the selection matrix of the weak eigenvectors (E_hat) of the object to which this PCA belongs to.

SelectiveFilter - Class in de.lmu.ifi.dbs.elki.logging

A selective filter filters exactly for a certain LogLevel of LogRecords.

SelectiveFilter(Level) - Constructor for class de.lmu.ifi.dbs.elki.logging.SelectiveFilter

Provides a selective filter for the given level.

selectivity(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Returns the selectivity of this unit, which is defined as the fraction of total feature vectors contained in this unit.

SEPARATOR - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.result.Result

String to separate different entries while printing.

SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCorrelationDistanceFunction

Indicates a separator.

SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

Indicates a separator.

separator - Variable in class de.lmu.ifi.dbs.elki.utilities.output.PrettyPrinter

provides a separator to separate different columns (could be empty String)

separatorPattern - Variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

Holds the Pattern to separate different levels parsing input.

separatorString - Variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

A String to separate different levels in a String representation of this HierarchicalClassLabel.

SequentialDatabase<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.database

SequentialDatabase is a simple implementation of a Database.

SequentialDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.SequentialDatabase

Provides a database for main memory holding all objects in a hashtable.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.algorithm.AbortException

Generated serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.data.Bit

Generated serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.data.RationalNumber

Generated serial version UID.

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

The serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.distance.BitDistance

Generated serial version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

Generated SerialVersionUID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.distance.DoubleDistance

Generated serialVersionUID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.distance.FloatDistance

Generated serialVersionUID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.distance.IntegerDistance

Created serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.PQNode

Generated serialVersionUID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.logging.ProgressLogRecord

Generated serial version UID.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.normalization.NonNumericFeaturesException

Generated serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.properties.PropertyName

Serial version UID

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException

Generated serial version UID.

set(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a single element.

set(int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Sets the value at the specified row.

SET - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Flag

Constant indicating that the flag is set.

setAssociations(Integer, Associations) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Sets the specified association to the specified id.

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

Returns the indices of all set bits.

setCacheIndex(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

Sets the index of this deap in the cachePath of the persistent heap.

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

Sets the maximum size of this cache.

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

Sets the maximum size of this cache.

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

Sets the maximum size of the cache of this file.

setCentroid(V) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalCorrelationCluster

Sets the centroid of this cluster.

setColumn(int, Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Sets the jth column of this matrix to the specified column.

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

Sets the conservative approximation line

setConservativeKnnDistanceApproximation(ApproximationLine) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPEntry

Sets the conservative approximation line

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

Sets the conservative approximation line

setCorrectValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Tries to set the correct value for this class parameter.

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

Sets the covering radius of this entry.

setCoveringRadius(D) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry

Sets the covering radius of this entry if this entry is a directory entry, throws an UnsupportedOperationException otherwise.

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

Throws an UnsupportedOperationException.

setCurrentRepresentationIndex(int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

Sets the currently selected representation for which the distances will be computed.

setDatabase(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

setDatabase(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction

setDatabase(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction

Runs the preprocessor on the database.

setDatabase(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FractalDimensionBasedDistanceFunction

setDatabase(Database<BitVector>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FrequencyDependentItemsetDistanceFunction

Sets the database, initializes a new map of frequencies.

setDatabase(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction

setDatabase(Database<O>, boolean, boolean) - Method in interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

Set the database that holds the associations for the DatabaseObject for which the measurements should be computed.

setDatabase(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPreprocessorBasedSimilarityFunction

Runs the preprocessor on the database.

setDatabase(Database<O>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper

setDatabase(Database<O>) - Method in interface de.lmu.ifi.dbs.elki.index.Index

Sets the database in the distance function of this index (if existing).

setDatabase(Database<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Sets the databse in the distance function of this index (if existing).

setDatabase(Database<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Sets the databse in the distance function of this index.

setDatabase(Database<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

Sets the databse in the distance function of this index (if existing).

setDebugLevel(Level) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Sets the level of debugFilter.

setDefaultValue(double) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleListParameter

Sets the default value of this parameter.

setDefaultValue(int) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.IntListParameter

Sets the default value of this parameter.

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

Sets the default value of this parameter.

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

Checks all parameters not specified in currentParameters for default values and sets them, if existing

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

Sets the default value of this parameter as the actual value of this parameter.

setDescription(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

Sets the description of this OptionID.

setDirty(boolean) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPage

Sets the dirty flag of this page.

setDirty(boolean) - Method in interface de.lmu.ifi.dbs.elki.persistent.Page

Sets the dirty flag of this page.

setDirty(boolean) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

Sets the dirty flag of this page.

setExpanded(SpatialEntry, SpatialEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Marks the nodes with the specified ids as expanded.

setFile(PageFile<P>) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPage

Sets the page file of this page.

setFile(PageFile<P>) - Method in interface de.lmu.ifi.dbs.elki.persistent.Page

Sets the page file of this page.

setFile(PageFile) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

Sets the page file of this page.

setFirst(int) - Method in class de.lmu.ifi.dbs.elki.utilities.IntegerTriple

Sets the first Argument of this Object.

setGlobalParameterConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

setHandled(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Marks the specified object as handled and returns the path of node ids from the root to the objects's parent.

setHasHandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry

setHasHandled(boolean) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry

Sets the flag to marks the node (or its child nodes) which is represented by this entry to contain handled data objects.

setHasHandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry

setHasUnhandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry

setHasUnhandled(boolean) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry

Sets the flag to marks the node (or its child nodes) which is represented by this entry to contain unhandled data objects.

setHasUnhandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry

setHeight(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Sets the height of this R*-Tree.

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

setID(Integer) - Method in class de.lmu.ifi.dbs.elki.data.AbstractDatabaseObject

setID(Integer) - Method in interface de.lmu.ifi.dbs.elki.data.DatabaseObject

Sets the id of this database object.

setID(Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractEntry

Sets the id of the node or data object that is represented by this entry.

setID(Integer) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Entry

Sets the id of the node or data object that is represented by this entry.

setID(int) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPage

Sets the unique id of this Page.

setID(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.Page

Sets the unique id of this Page.

setID(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

Sets the unique id of this Page.

setInvertedRows(int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

Sets the ids of the inverted rows.

setKey(K) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode

Sets the key of this HeapNode.

setKey(K) - Method in interface de.lmu.ifi.dbs.elki.utilities.heap.HeapNode

Sets the key of this HeapNode.

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

setKnnDistance(D) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxEntry

Sets the knn distance of the entry.

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

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

setKnnDistance(D) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNEntry

Sets the knn distance of this entry.

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

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

Sets the polynomial approximation.

setKnnDistanceApproximation(PolynomialApproximation) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppEntry

Sets the polynomial approximation.

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

Sets the polynomial approximation.

setKnnDistances(List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabDirectoryEntry

setKnnDistances(List<D>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabEntry

Sets the knn distances of the entry.

setKnnDistances(List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabLeafEntry

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

Sets the label of this cluster.

setLast(int) - Method in class de.lmu.ifi.dbs.elki.utilities.IntegerTriple

Sets the third Argument of this Object.

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

Sets the level of this cluster.

setLevel(Level) - Method in class de.lmu.ifi.dbs.elki.logging.DebugFilter

Sets the debug level for filtering to the specified level.

setLevel(Level) - Method in class de.lmu.ifi.dbs.elki.logging.SelectiveFilter

Sets the selected level to the specified level.

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

Sets the index within the level of this cluster.

setLoggerLevel(Level) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Sets the loggerLevel to the specified level.

setMatrix(int, int, int, int, Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(int[], int[], Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(int[], int, int, Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(int, int, int[], Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

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

Sets the MBR of this entry.

setMBR(HyperBoundingBox) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialEntry

Sets the MBR of this entry.

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

Throws an UnsupportedOperationException

setModel(Result<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Cluster

setNewID(O) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Provides a new id for the specified database object suitable as key for a new insertion and sets this id in the specified database object.

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

Sets the next page id.

setNode(BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

Expands this node with the entries of newNode.

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

Specifies if this parameter is an optional parameter.

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

Sets the id of the given page.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

Grabs all specified options from the option handler and sets the values for the flags AbstractAlgorithm.VERBOSE_FLAG and AbstractAlgorithm.TIME_FLAG.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Calls AbstractAlgorithm#setParameters(args) and sets additionally the values of the parameters APRIORI.MINFREQ_PARAM and APRIORI.MINSUPP_PARAM.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA

Passes remaining parameters first to the partition algorithm, then to the preprocessor.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Passes remaining parameters to the clustering algorithm.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Sets the parameters ORCLUS.ALPHA_PARAM additionally to the parameters set by the super-class' method.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Calls DistanceBasedAlgorithm#setParameters(args) and sets additionally the values of the parameters DBSCAN.EPSILON_PARAM and DBSCAN.MINPTS_PARAM.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Calls DistanceBasedAlgorithm#setParameters(args).

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Sets parameters EM.k and EM.delta.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans

Sets parameter KMeans.k.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Sets the parameters epsilon and minpts additionally to the parameters set by the super-class' method.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Sets the parameters xsi, tau and prune additionally to the parameters set by the super-class' method.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Sets the parameters k and l additionally to the parameters set by the super-class' method.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Calls DistanceBasedAlgorithm#setParameters(args) and sets additionally the values of the parameters DependencyDerivator.OUTPUT_ACCURACY_PARAM and DependencyDerivator.SAMPLE_SIZE_PARAM.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

Calls AbstractAlgorithm#setParameters(args) and instantiates DistanceBasedAlgorithm.distanceFunction according to the value of parameter DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder

Calls DistanceBasedAlgorithm#setParameters(args) and sets additionally the values of the parameters KNNDistanceOrder.K_PARAM and KNNDistanceOrder.PERCENTAGE_PARAM.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.database.connection.FileBasedDatabaseConnection

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase

Sets the values for the parameter bulk.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase

Sets the values for the parameter bulk.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDimensionsSelectingDoubleDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction

Sets the values for the parameters delta and preprocessor if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

Sets the values for the parameters delta and preprocessor if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

Sets the values for the parameters delta and preprocessor if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPreprocessorBasedSimilarityFunction

Sets the values for the parameters delta and preprocessor if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.KDDTask

Sets the options accordingly to the specified list of parameters.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

Sets the attributes of the class accordingly to the given parameters.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Sets the attributes of the class accordingly to the given parameters.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor

Sets the values for the parameters alpha, pca and pcaDistancefunction if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.FracClusPreprocessor

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor

Sets the values for the parameters alpha, pca and pcaDistancefunction if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor

Sets the values for the parameters alpha, pca and pcaDistancefunction if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.KnnQueryBasedHiCOPreprocessor

Sets the value for the parameter k.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor

setParameters(OptionHandler, String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Sets the values for the parameters delta and preprocessor if specified.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor

Sets the value for the required parameter k.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor

Sets the parameter values of SharedNearestNeighborsPreprocessor.NUMBER_OF_NEIGHBORS_PARAM and SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM to SharedNearestNeighborsPreprocessor.numberOfNeighbors and SharedNearestNeighborsPreprocessor.distanceFunction, respectively.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

setParameters(String[], 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.

setParameters(String[]) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable

Sets the attributes of the class accordingly to the given parameters.

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.AbstractPCA

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.CompositeEigenPairFilter

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.FirstNEigenPairFilter

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.NormalizingEigenPairFilter

setParameters(String[]) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter

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

Sets the distance from the object to its parent object.

setParentDistance(D) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry

Sets the distance from the routing object to routing object of its parent.

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

Sets the distance from the underlying data object to its parent's routing object.

setProcessed(int) - Method in class de.lmu.ifi.dbs.elki.utilities.Progress

Sets the number of items already processed at a time being.

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

Sets the OptionHandler's programmCall (@link #programCall} to the given call.

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

Sets the progressive approximation line

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

Sets the required input pattern.

setRestrictionClass(Class<C>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Sets the restriction class of this class parameter.

setResult(Clusters<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering

Sets the result of this algorithm.

setRootEdge(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

Adds edge to the list of rootEdges.

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

Sets the id of the routing object of this entry.

setRoutingObjectID(Integer) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry

Sets the id of the underlying database object of this entry, if this entry is a leaf entry, the id of the routing object, otherwise.

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

Sets the id of the underlying database object of this entry.

setSecond(int) - Method in class de.lmu.ifi.dbs.elki.utilities.IntegerTriple

Sets the second Argument of this Object.

setSelectedDimensions(BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDimensionsSelectingDoubleDistanceFunction

Sets the selected dimensions according to the set bits in the given BitSet.

setShortDescription(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Option

Sets the short description of the option.

setTime(boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

setTime(boolean) - Method in interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

Sets whether whether the time should be assessed while executing the algorithm.

settings - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AttributeSettings

The settings of the attributes.

setValue(V) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode

Sets the value of this HeapNode.

setValue(V) - Method in interface de.lmu.ifi.dbs.elki.utilities.heap.HeapNode

Sets the value of this HeapNode.

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassListParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleListParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.FileListParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.FileParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Flag

Specifies if the flag is set or not.

setValue(boolean) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Flag

Specifies if the flag is set or not.

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.IntListParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.IntParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.LongParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Option

Sets the value of the option.

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.PatternParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.StringParameter

setValue(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.VectorListParameter

setVerbose(boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

setVerbose(boolean) - Method in interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

Sets whether verbose messages should be printed while executing the algorithm.

SHARED_NEAREST_NEIGHBORS_SET - 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.

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

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

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

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

SharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

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

SharedNearestNeighborsPreprocessor<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.preprocessing

A preprocessor for annotation of the ids of nearest neighbors to each database object.

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

Provides a SharedNearestNeighborPreprocessor.

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

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

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

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

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

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

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

shortDescription - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Option

The short description of the optionn.

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

Short title of an algorithm.

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

Returns the shortValue of this.doubleValue().

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

Shrinks the cache, i.e. removes the last deap from the cache.

similarity(Integer, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractSimilarityFunction

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractSimilarityFunction

similarity(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.ClusterSimilarity

similarity(Cluster<?>, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.ClusterSimilarity

similarity(Integer, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.ClusterSimilarity

similarity(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction

similarity(Integer, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper

Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed.

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Provides an experimental kernel similarity between the given two vectors.

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction

Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by V1^T*V2

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

Provides the linear kernel similarity between the given two vectors.

similarity(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

similarity(Integer, Integer) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

Returns the similarity between the two objects specified by their object ids.

similarity(Integer, O) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

Returns the similarity between the two specified objects.

similarity(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

Computes the similarity between two given DatabaseObjects according to this similarity function.

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

The similarity function for the shared nearest neighbor similarity.

SimilarityFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction

Interface SimilarityFunction describes the requirements of any similarity function.

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

The similarity matrix of the pca.

similarityMatrix() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Returns a copy of the similarity matrix (M_hat) of this LocalPCA.

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

A simple class label casting a String as it is as label.

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

SINGULARITY_CHEAT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Small value to increment diagonally of a matrix in order to avoid singularity befor building the inverse.

SingularValueDecomposition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

Singular Value Decomposition.

SingularValueDecomposition(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Construct the singular value decomposition

sinusProduct(int, int, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Computes the product of all sinus values of the specified angles from start to end index.

sinusProduct(int, int, double[]) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction

Computes the product of all sinus values of the specified angles from start to end index.

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

The size of the cluster.

size() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrder

Returns the size of this cluster order.

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

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

Returns the number of objects contained in this Database.

SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeHeader

The size of this header.

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

Returns the size of this header in Bytes.

SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

The size of this header.

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

Returns the size of this header in Bytes.

SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

The size of this header.

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

Returns the size of this header in Bytes.

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

Returns the number of the eigenpairs.

SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

The size of this header.

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

Returns the size of this header in Bytes.

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

Returns the size of this header in Bytes.

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

Returns the size of this heap.

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.heap.Heap

Returns the size of this heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Returns the size of the heap.

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

Returns the size of this heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.KNNList

Returns the current size of this list.

size - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalVectorListElementSizeConstraint

Integer parameter providing the size constraint.

sizeConstraint - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint

The list size constraint.

SLINK<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Efficient implementation of the Single-Link Algorithm SLINK of R.

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

Craetes a new instance of a single link algorithm.

SLINK.SLinkDistance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Encapsulates the distance between two objects and their ids.

SLINK.SLinkDistance(D, Integer, Integer) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.SLinkDistance

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

Holds the small value.

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

OptionID for LocalPCA.SMALL_PARAM

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

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

SNNClustering<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Shared nearest neighbor clustering.

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

Sets epsilon and minimum points to the optionhandler additionally to the parameters provided by super-classes.

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

Holds the solution.

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

The frequent itemsets.

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

Returns a string representation of the solution of this equation system.

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

Indicates if linear equation system is solvable.

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

Solve A*X = B

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

solves linear system with the chosen method

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

Solve A*X = B

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

Solve A*X = B

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

Least squares solution of A*X = B

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

Solves this linear equation system by total pivot search.

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

Solves this linear equation system by trivial pivot search.

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

Indicates if solvability has been checked.

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

Solve X*A = B, which is also A'*X' = B'

sort(int[], int, int, List<P>, Comparator<P>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Sorts an array based on specified properties.

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

Returns a list of clusters.

sortClusters(Map<BitSet, List<HierarchicalAxesParallelCorrelationCluster>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Sets the levels and indices in the clusters and returns a sorted list of the clusters.

sortCols(int, int, List<P>, Comparator<P>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Sorts the columns.

SortedEigenPairs - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

Helper class which encapsulates an array of eigenpairs (i.e. an array of eigenvectors and their corresponding eigenvalues).

SortedEigenPairs(EigenvalueDecomposition, boolean) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Creates a new SortedEigenPairs object from the specified eigenvalue decomposition.

SortedEigenPairs(List<EigenPair>) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Creates a new SortedEigenPairs object from the specified list.

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

Sorts the row and column ids (and - if applicable - the ids of inverted rows) in ascending order.

sortRows(int, int, List<P>, Comparator<P>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Sorts the rows.

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

Provides a parser for parsing one sparse BitVector per line, where the indices of the one-bits are separated by whitespace.

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

Provides a parser for parsing one sparse BitVector per line, where the indices of the one-bits are separated by whitespace.

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

A SparseDoubleVector is to store real values approximately as double values.

SparseDoubleVector(Map<Integer, Double>, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Provides a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

SparseDoubleVector(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Provides a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

SpatialComparable - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the required methods needed for comparison of spatial objects.

SpatialComparator - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Compares objects of type SpatialComparable.

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

Creates a new spatial comparator with the specified parameters.

SpatialDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Represents an entry in a directory node of a spatial index.

SpatialDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

Empty constructor for serialization purposes.

SpatialDirectoryEntry(int, HyperBoundingBox) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

Constructs a new SpatialDirectoryEntry object with the given parameters.

SpatialDistanceFunction<O extends FeatureVector<O,?>,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for a distance function that can used in spatial index to measure the dissimilarity between spatial data objects.

SpatialEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for an entry in a node of a Spatial Index.

SpatialIndex<O extends NumberVector<O,?>,N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Abstract super class for all spatial index classes.

SpatialIndex() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex

SpatialIndexDatabase<O extends NumberVector<O,?>,N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.database

SpatialIndexDatabase is a database implementation which is supported by a spatial index structure.

SpatialIndexDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase

SpatialLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Represents an entry in a leaf node of a spatial index.

SpatialLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialLeafEntry

Empty constructor for serialization purposes.

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

Constructs a new LeafEntry object with the given parameters.

SpatialNode<N extends SpatialNode<N,E>,E extends SpatialEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for an object that can be used as a node in a Spatial Index.

SpatialObject - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.

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

The object to perform interval splitting.

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

Splits this interval into 2 children.

SPLIT - Static variable in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection

A pattern defining a comma.

SPLIT - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

A pattern defining a comma.

split(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Splits the specified node and returns the split result.

split - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.SplitResult

split(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Splits the specified node and returns the newly created split node.

SPLIT - Static variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

A pattern defining a comma.

SPLIT - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ListParameter

A pattern defining a ",".

splitAxis - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

The split axis.

splitEntries(List<E>, List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Splits the entries of this node into a new node at the specified splitPoint and returns the newly created node.

splitEntries(List<E>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Splits the entries of this node into a new node at the specified splitPoint and returns the newly created node.

splitPoint - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

The index of the split point.

sqrtVector() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Square roots every element of the vector.

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

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

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

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

ssqerr(int, int, double[], double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree

ssr - Variable in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

The sum of square residuals

sst - Variable in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

The sum of square totals

STANDARD_DOUBLE_DISTANCE_FUNCTION - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.FractalDimensionBasedDistanceFunction

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

The standard deviation within this solution.

StaticLogger - Class in de.lmu.ifi.dbs.elki.logging

Subclass of AbstractLoggable , can be used in static environments.

StaticLogger(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.StaticLogger

Initializes a logger with the given name.

status() - Method in class de.lmu.ifi.dbs.elki.utilities.Progress

Returns the progress status (percentage of progress).

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

Provides a status report line with leading carriage return.

status(Progress) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Provides a status report line with leading carriage return.

step1(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

First step: Initialize P(id) = id, L(id) = infinity.

step2(int, ArrayList<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.

step3(int, ArrayList<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Third step: Determine the values for P and L

step4(int, ArrayList<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Fourth step: Actualize the clusters if necessary

strategy - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

The strategy to determine the preference vector.

STRATEGY_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Description for parameter strategy.

STRATEGY_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Parameter strategy.

STRING - Static variable in interface de.lmu.ifi.dbs.elki.converter.WekaAttribute

Key word for a string attribute.

STRING_INDEX - Static variable in class de.lmu.ifi.dbs.elki.converter.WekaAbstractAttribute

The index of the type STRING in TYPES.

StringParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Parameter class for a parameter specifying a string value.

StringParameter(String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.StringParameter

Deprecated.

StringParameter(String, String, ParameterConstraint<String>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.StringParameter

Deprecated.

StringParameter(String, String, List<ParameterConstraint<String>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.StringParameter

Deprecated.

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

The association id to associate the strong eigencvector weighted matrix of an object.

strongEigenPairs - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.FilteredEigenPairs

The strong eigenpairs.

strongEigenvalues - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.AbstractPCA

The strong eigenvalues.

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

The strong eigenvectors of the hyperplane induced by the correlation.

strongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.AbstractPCA

The strong eigenvectors to their corresponding filtered eigenvalues.

StudentDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics

Tabelarizes the values for student distribution.

StudentDistribution() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.StudentDistribution

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

The supspace of this model.

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

Represents a subspace of the original dataspace.

Subspace(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.Subspace

Creates a new one-dimensional subspace of the original dataspace.

Subspace(SortedSet<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.Subspace

Creates a new k-dimensional subspace of the original dataspace.

SubspaceClusterMap - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Encapsulates a mapping of subspace dimensionalities to a list of set of ids forming a cluster in a specific subspace dimension.

SubspaceClusterMap(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

Provides a mapping of subspace dimensionalities to a list of set of ids forming a cluster in a specific subspace dimension.

SubspaceClusterModel<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

todo arthur comment

SubspaceClusterModel(Database<V>, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterModel

subspaceDimensionalities() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

Returns a sorted list view of the subspace dimensionalities contained in this cluster map.

SubspaceDistance<D extends SubspaceDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance

The SubspaceDistance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality.

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

Empty constructor for serialization purposes.

SubspaceDistance(double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

Constructs a new SubspaceDistance object.

subspaceDistance - Variable in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

The subspace distance.

SubspaceDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends SubspaceDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Provides a distance function to determine a kind of correlation distance between two points, which is a pair consisting of the distance between the two subspaces spanned by the strong eigenvectors of the two points and the affine distance between the two subspaces.

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

Provides a distance function to determine distances between subspaces of equal dimensionality.

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

Keeps the support of all evaluated bitsets.

support(BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FrequencyDependentItemsetDistanceFunction

Provides the support (percentage) of the given itemset by the currently set database.

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

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

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

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

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

The supports of all itemsets.

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

Singular Value Decomposition

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

Swaps the nodes at the indices i1 and i2 in the array.

swap(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Swaps the position of two elements.

swapColumn(int, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Swaps the specified columns of this matrix.

swapRow(int, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Swaps the specified rows of this matrix.