S-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

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E nvironment for

Deve L oping

K DD-Applications

Supported by I ndex-Structures

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s - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
s - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
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.
sampleMinMax(Database<V>, DistanceFunction<V, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Holds the value of DependencyDerivator.SAMPLE_SIZE_PARAM.
sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: Variable to store fast mode flag.
sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses: Sampling
SAMPLING_FLAG - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses: Flag to enable sampling Key: -h
SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses: OptionID for DistanceStatisticsWithClasses.SAMPLING_FLAG
sanitizeName(String) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Return a sanitized version of the given string.
satisfiesClassRestriction(Class<?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter: Try to satisfy a single class restriction
saveAsEPS(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode file to EPS.
saveAsJPEG(File, int, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode file to JPEG.
saveAsJPEG(File, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode file to JPEG.
saveAsPDF(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode file to PDF.
saveAsPNG(File, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode file to PNG.
saveAsPS(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode file to PS.
saveAsSVG(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Save document into a SVG file.
saveButton - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
saveButton - Variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow
SaveOptionsPanel - Class in de.lmu.ifi.dbs.elki.visualization.savedialog: A component (JPanel) which can be displayed in the save dialog to show additional options when saving as JPEG or PNG.
SaveOptionsPanel(JFileChooser, int, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel: Construct a new Save Options Panel.
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.
Scales - Class in de.lmu.ifi.dbs.elki.visualization.scales: Scales helper class.
Scales() - Constructor for class de.lmu.ifi.dbs.elki.visualization.scales.Scales
scaling - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.GaussStddevWeight: Constant scaling factor of Gaussian distribution.
scaling - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.QuadraticStddevWeight: Scaling: at scaling * stddev the function will hit 0.0
scomparator - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.Compare: A comparator for type FIRST.
scomparator - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareSwapped: A comparator for type FIRST.
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.
second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair: second value
second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair: second value
second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: second value
second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: second value
second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: Second value in pair
second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple: Second value
secondAssignments - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.Assignments: The assignments to the second routing object.
secondCoveringRadius - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.Assignments: The second covering radius.
SELECTED_ATTRIBUTES_ID - Static variable in class de.lmu.ifi.dbs.elki.parser.meta.ProjectionParser: ID for the parameter ProjectionParser.SELECTED_ATTRIBUTES_PARAM.
SELECTED_ATTRIBUTES_PARAM - Variable in class de.lmu.ifi.dbs.elki.parser.meta.ProjectionParser: Selected attributes parameter.
selectedAttributes - Variable in class de.lmu.ifi.dbs.elki.parser.meta.ProjectionParser: Keeps the selection of the subspace to project onto.
selectionMatrixOfStrongEigenvectors() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: 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.math.linearalgebra.pca.PCAFilteredResult: Returns a copy of the selection matrix of the weak eigenvectors (E_hat) of the object to which this PCA belongs to.
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 class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction: Indicates a separator.
SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance: Indicates a separator.
SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: String to separate different entries while printing.
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.
SER_MARKER - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Marker used in text serialization (and re-parsing)
serialize(StringBuffer) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Serialize managed CSS classes to rule file.
serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.algorithm.AbortException: Serial UID.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow.SeriesLabelRenderer: Serial version
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.database.DatabaseEvent: Serialization ID since Java EventObjects are expected to be serializable.
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.distance.PreferenceVectorBasedCorrelationDistance
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
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.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialLeafEntry
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.logging.ElkiLogRecord: Serial Version UID
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Serial version
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.persistent.AbstractPage
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Serial version.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Serial number, also used for generating a magic
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.properties.PropertyName: Serial version UID
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.AnyMap: Serial version.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.HashMapList: Serial version
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Serial version number.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap: Serial version number.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: Serial version number.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox
serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.NoParameterValueException: Serial version UID
serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.UnspecifiedParameterException: Serial UID
serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException: Generated serial version UID.
serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.visualization.css.CSSClass.InvalidCSS: Serial version UID.
serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager.CSSNamingConflict: Serial version UID
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Serial version.
serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel: Serial version.
SERIESID - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow: SVG graph object ID (for replacing)
SERIESID - Static variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow: SVG graph object ID (for replacing)
seriesList - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
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 - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
SET - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Flag: Constant indicating that the flag is set.
setAssociation(AssociationID<M>, M) - Method in class de.lmu.ifi.dbs.elki.result.MetadataResult: Put meta data.
setAssociations(Integer, Associations) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: Sets the specified association to the specified id.
setAtt(Element, String, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Set a SVG attribute
setAtt(Element, String, int) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Set a SVG attribute
setAtt(Element, String, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Set a SVG attribute
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.data.model.CorrelationModel: Assign new Centroid
setClipping(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Set a clipping box. min needs to be smaller than max in each component.
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.
setCompleted(boolean) - Method in class de.lmu.ifi.dbs.elki.utilities.progress.IndefiniteProgress: Set the completion Flag.
setCompleted() - Method in class de.lmu.ifi.dbs.elki.utilities.progress.IndefiniteProgress: Set the completion flag.
setConservativeKnnDistanceApproximation(ApproximationLine) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Sets the conservative approximation line
setConservativeKnnDistanceApproximation(ApproximationLine) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPEntry: Sets the conservative approximation line
setConservativeKnnDistanceApproximation(ApproximationLine) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.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.
setCovarianceMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.data.model.EMModel
setCovarianceMatrixBuilder(CovarianceMatrixBuilder<V, D>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Set covariance matrix builder.
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, since a leaf entry has no covering radius.
setCurrent(IntIntPair) - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator: Set the current pair.
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: Calls AbstractMeasurementFunction(database, verbose, time) and runs the preprocessor on the database.
setDatabase(Database<V>, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract
setDatabase(Database<V>, 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: Calls AbstractMeasurementFunction(database, verbose, time) and 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
setDatabase(Database<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Sets the database in the distance function of this index.
setDatabase(Database<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex: Sets the database in the distance function of this index (if existing).
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.
setDensityCorrection(double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Set density correction factor.
setDescription(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: Sets the description of this OptionID.
setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.model.DimensionModel: Set cluster dimensionality
setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Sets the dimensionality to the new value.
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.
setDiscarded(int) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic: Notify cluster of discarded points.
setDistance(D) - Method in class de.lmu.ifi.dbs.elki.database.DistanceResultPair: Setter for first
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<Deap<K, V>>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap: Sets the page file of this page.
setFirst(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair: Set first value
setFirst(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair: Set first value
setFirst(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: Set first value
setFirst(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: Set first value
setFirst(FIRST) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: Setter for first
setFirst(FIRST) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple: Setter for first
setForceincomments(boolean) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Set the force-in-comments flag.
setFormat(String) - Method in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
setGlobalAssociation(MultiResult, AssociationID<M>, M) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil: Set global meta association.
setGlobalParameterConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler: Add a global parameter constraint.
setGroup(DatabaseObjectGroup) - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Access group object
setGzipCompression(boolean) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Set GZIP compression flag.
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.
setHierarchy(HierarchyImplementation<Cluster<M>>) - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Set hierarchy object
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.database.DistanceResultPair: Setter for second
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.data.model.BiclusterWithInverted: 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.mktrees.mkmax.MkMaxDirectoryEntry
setKnnDistance(D) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxEntry: Sets the knn distance of the entry.
setKnnDistance(D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.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.mktrees.mkapp.MkAppDirectoryEntry: Sets the polynomial approximation.
setKnnDistanceApproximation(PolynomialApproximation) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppEntry: Sets the polynomial approximation.
setKnnDistanceApproximation(PolynomialApproximation) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Sets the polynomial approximation.
setKnnDistances(List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
setKnnDistances(List<D>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabEntry: Sets the knn distances of the entry.
setKnnDistances(List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
setLes(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.data.model.LinearEquationModel: Assign new Linear Equation System.
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
setMean(V) - Method in class de.lmu.ifi.dbs.elki.data.model.EMModel
setModel(M) - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Access model object
setName(String) - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Set Cluster name
setName(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Set the class name.
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.
setNoise(boolean) - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Setter for noise flag.
setNormalization(Normalization<O>) - Method in class de.lmu.ifi.dbs.elki.result.DiscardResultHandler: Set normalization
setNormalization(Normalization<O>) - Method in interface de.lmu.ifi.dbs.elki.result.ResultHandler: Setter for normalization
setNormalization(Normalization<O>) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter
setNormalization(Normalization<O>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Setter for normalization
setNormalization(Normalization<O>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStreamNormalizing: Setter for normalization.
setNormalization(Normalization<O>) - Method in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer
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(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm: Calls the super method and sets additionally the values of the flags AbstractAlgorithm.VERBOSE_FLAG and AbstractAlgorithm.TIME_FLAG.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Calls the super method and sets additionally the values of the parameters APRIORI.MINFREQ_PARAM and APRIORI.MINSUPP_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Calls the super method and sets additionally the values of the parameters CASH.MINPTS_PARAM, CASH.MAXLEVEL_PARAM, CASH.MINDIM_PARAM, CASH.JITTER_PARAM, and the flag CASH.ADJUST_FLAG.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Calls the super method and instantiates COPAC.partitionAlgorithm according to the value of parameter COPAC.PARTITION_ALGORITHM_PARAM, COPAC.partitionDatabase according to the value of parameter COPAC.PARTITION_DB_PARAM (if specified), and COPAC.preprocessor according to the value of parameter COPAC.PREPROCESSOR_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC: Calls the super method and passes remaining parameters to the ERiC.copacAlgorithm.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Calls the super method and sets additionally the value of the parameter ORCLUS.ALPHA_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Calls the super method and sets additionally the values of the parameters DBSCAN.EPSILON_PARAM and DBSCAN.MINPTS_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: Calls the super method.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Calls the super method and sets additionally the values of the parameters EM.K_PARAM and EM.DELTA_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans: Calls the super method and sets additionally the value of the parameter KMeans.K_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS: Calls the super method and sets additionally the values of the parameters OPTICS.EPSILON_PARAM and OPTICS.MINPTS_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: Calls the super method and instantiates ProjectedDBSCAN.distanceFunction according to the value of parameter ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM and sets additionally the values of the parameters ProjectedDBSCAN.EPSILON_PARAM ProjectedDBSCAN.MINPTS_PARAM, and ProjectedDBSCAN.LAMBDA_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Calls the super method and sets additionally the values of the parameters SNNClustering.EPSILON_PARAM and SNNClustering.MINPTS_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Calls the super method and sets additionally the value of the parameters CLIQUE.XSI_PARAM, CLIQUE.TAU_PARAM, and {flag @link #PRUNE_FLAG}.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Calls the super method and sets additionally the value of the parameters DiSH.EPSILON_PARAM and DiSH.MU_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Calls the super method and sets additionally the value of the parameter PROCLUS.M_I_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering: Calls the super method and sets additionally the value of the parameters ProjectedClustering.K_PARAM, ProjectedClustering.K_I_PARAM, and ProjectedClustering.L_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Calls the super method and sets additionally the values of the parameters DependencyDerivator.OUTPUT_ACCURACY_PARAM and DependencyDerivator.SAMPLE_SIZE_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Calls the super method and instantiates DistanceBasedAlgorithm.distanceFunction according to the value of parameter DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder: Calls the super method and sets additionally the values of the parameters KNNDistanceOrder.K_PARAM and KNNDistanceOrder.PERCENTAGE_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: Calls the super method and sets parameters ABOD.FAST_FLAG, ABOD.FAST_SAMPLE_PARAM and ABOD.KERNEL_FUNCTION_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI: Calls the super method and sets additionally the values of the parameter LOCI.RMAX_PARAM, LOCI.NMIN_PARAM and LOCI.ALPHA_PARAM
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF: Calls the super method and sets additionally the value of the parameter LOF.K_PARAM and instantiates LOF.reachabilityDistanceFunction according to the value of parameter LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD: Calls the super method and sets additionally the values of the parameters SOD.KNN_PARAM and SOD.ALPHA_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Sets the file parameter.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.StandAloneApplication: Calls the super method and sets additionally the value of the parameter StandAloneApplication.OUTPUT_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.StandAloneInputApplication: Calls the super method and sets additionally the value of the parameter StandAloneInputApplication.INPUT_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Calls the super method and sets additionally the value of the parameters AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM, AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM, and AbstractDatabaseConnection.EXTERNAL_ID_INDEX_PARAM and instantiates AbstractDatabaseConnection.database according to the value of parameter AbstractDatabaseConnection.DATABASE_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.database.connection.FileBasedDatabaseConnection: Calls the super method InputStreamDatabaseConnection#setParameters(args)} and sets additionally the value of the parameter FileBasedDatabaseConnection.INPUT_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection: Calls the super method and instantiates InputStreamDatabaseConnection.parser according to the value of parameter InputStreamDatabaseConnection.PARSER_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection: Calls the super method and instantiates MultipleFileBasedDatabaseConnection.inputStreams according to the value of parameter MultipleFileBasedDatabaseConnection.INPUT_PARAM and MultipleFileBasedDatabaseConnection.parsers according to the value of parameter MultipleFileBasedDatabaseConnection.PARSERS_PARAM .
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase: Sets the values for the parameter bulk.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase: Sets the values for the parameter bulk.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction: Calls AbstractParameterizable#setParameters and passes the remaining parameters to the AbstractLocallyWeightedDistanceFunction.preprocessorHandler.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction: Calls AbstractParameterizable#setParameters and passes the remaining parameters to the AbstractPreprocessorBasedDistanceFunction.preprocessorHandler.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractPreferenceVectorBasedCorrelationDistanceFunction: Calls the super method and sets additionally the value of the parameter AbstractPreferenceVectorBasedCorrelationDistanceFunction.EPSILON_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction: Calls the super method AbstractPreprocessorBasedDistanceFunction#setParameters(args)} and sets additionally the values of the parameters ERiCDistanceFunction.DELTA_PARAM and {#TAU_PARAM}.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: Calls the super method AbstractPreprocessorBasedDistanceFunction#setParameters(args)} and sets additionally the value of the parameter PCABasedCorrelationDistanceFunction.DELTA_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPreprocessorBasedSimilarityFunction: Calls the super method and passes the remaining parameters to the AbstractPreprocessorBasedSimilarityFunction.preprocessorHandler.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Calls TreeIndex#setParameters and instantiates AbstractMTree.distanceFunction according to the value of parameter AbstractMTree.DISTANCE_FUNCTION_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree: Calls the super method AbstractMTree#setParameters(args)} and sets additionally the value of the parameter AbstractMkTree.K_MAX_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndex: todo
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Calls the super method AbstractParameterizable#setParameters(args)} and sets additionally the values of the parameters TreeIndex.FILE_PARAM, TreeIndex.PAGE_SIZE_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.KDDTask
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter: Calls the super method and instantiates CompositeEigenPairFilter.filters according to the value of parameter CompositeEigenPairFilter.FILTERS_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter: Calls the super method and sets additionally the value of the parameter FirstNEigenPairFilter.N_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter: Calls the super method and sets additionally the values of the flag LimitEigenPairFilter.ABSOLUTE_FLAG and the parameter LimitEigenPairFilter.DELTA_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Set Parameters.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Parameter handling.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: Set parameters
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter: Set parameters
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter: Set parameters
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter: Set parameters
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Parse parameters.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Sets the attributes of the class accordingly to the given parameters.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Sets the attributes of the class accordingly to the given parameters.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization: Sets the attributes of the class accordingly to the given parameters.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.parser.meta.MetaParser
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.parser.meta.ProjectionParser
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser: Calls the super method and sets additionally the value of the parameter RandomProjectionParser.NUMBER_SELECTED_ATTRIBUTES_PARAM.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: Sets the values for the parameters alpha, pca and pcaDistancefunction if specified.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor: Sets the values for the parameters alpha, pca and pcaDistancefunction if specified.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.KnnQueryBasedHiCOPreprocessor: Sets the value for the parameter k.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: Sets the parameter values of MaterializeKNNPreprocessor.K_PARAM and MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM to MaterializeKNNPreprocessor.k and MaterializeKNNPreprocessor.distanceFunction, respectively.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler: Calls AbstractParameterizable#setParameters and sets additionally the value of flag PreprocessorHandler.OMIT_PREPROCESSING_FLAG and instantiates PreprocessorHandler.preprocessor according to the value of parameter PreprocessorHandler.PREPROCESSOR_PARAM The remaining parameters are passed to the PreprocessorHandler.preprocessor.
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor: Sets the value for the required parameter k.
setParameters(List<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(List<String>) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter: set Parameters
setParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable: Grabs all specified options from the option handler.
setParameters(List<String>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable: Sets the attributes of the class accordingly to the given parameters.
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.
setPCAResult(PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel: Assign new PCA result
setPoints(LinkedList<Vector>) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Set the list of points in the cluster
setProcessed(int) - Method in class de.lmu.ifi.dbs.elki.utilities.progress.AbstractProgress: Sets the number of items already processed at a time being.
setProcessed(int) - Method in class de.lmu.ifi.dbs.elki.utilities.progress.FiniteProgress: Sets the number of items already processed at a time being.
setProgressiveKnnDistanceApproximation(ApproximationLine) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Sets the progressive approximation line
setRequiredInputPattern(Pattern) - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction: Sets the required input pattern.
setResult(Clustering<Model>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering: Sets the result of this algorithm.
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 data object of this entry.
setSecond(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair: Set second value
setSecond(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair: Set second value
setSecond(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: Set second value
setSecond(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: Set second value
setSecond(SECOND) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: Setter for second
setSecond(SECOND) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple: Setter for second
setSelectedAttributes(BitSet) - Method in class de.lmu.ifi.dbs.elki.parser.meta.ProjectionParser: Sets the bits set to true in the given BitSet as selected attributes in ProjectionParser.SELECTED_ATTRIBUTES_PARAM.
setSelectedDimensions(BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.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.
setSourceClassName(String) - Method in class de.lmu.ifi.dbs.elki.logging.ElkiLogRecord
setSourceMethodName(String) - Method in class de.lmu.ifi.dbs.elki.logging.ElkiLogRecord
setStatement(String, String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Set a CSS statement.
setStatement(String, int) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Set a CSS statement.
setStatement(String, double) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Set a CSS statement.
setSubspaces(BitSet) - Method in class de.lmu.ifi.dbs.elki.data.model.AxesModel: Access subspaces bitset.
setTestAgainstModel(boolean) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain: Set the value of the GeneratorMain.testAgainstModel flag
setThird(THIRD) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple: Setter for third
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.
setupCSSClasses(Object, CSSClassManager) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis: Register CSS classes with a CSSClassManager
setValue(N) - Method in class de.lmu.ifi.dbs.elki.distance.NumberDistance: Sets the value of this NumberDistance.
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.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.
setVerbose(boolean) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Reconfigure logging to enable 'verbose' logging at the top level.
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.
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: Provides a SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
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.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection
shortDescription() - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase: Returns a short description of the database.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.database.SequentialDatabase: Provides a description for SequentialDatabase.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase: Returns a short description of the database.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction: Returns the required input pattern.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Returns a description of the class and the required parameters.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: Returns a description of the class and the required parameters.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: Parameter description.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter: Get parameter description.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter: Get parameter description
shortDescription() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter: Get parameter description
shortDescription() - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization
shortDescription() - Method in class de.lmu.ifi.dbs.elki.parser.BitVectorLabelParser
shortDescription() - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser
shortDescription() - Method in class de.lmu.ifi.dbs.elki.parser.ParameterizationFunctionLabelParser
shortDescription() - Method in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser
shortDescription() - Method in class de.lmu.ifi.dbs.elki.parser.SparseBitVectorLabelParser
shortDescription() - Method in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.KnnQueryBasedHiCOPreprocessor
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: Provides a short description of the purpose of this class.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor: Returns a description of the class and the required parameters.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: Provides a short description of the purpose of this class.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.preprocessing.SpatialApproximationMaterializeKNNPreprocessor: Provides a short description of the purpose of this class.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable: Returns a short description of the class.
shortDescription - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Option: The short description of the option.
shortDescription() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable: Returns a description of the class and the required parameters.
shortDescription() - Method in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer
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 short value of this.doubleValue().
showError(Component, String, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog: Helper method to show a error message as "popup".
showSaveDialog(SVGPlot, int, int) - Static method in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog: Show a "Save as" dialog.
shrinkCache() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: Shrinks the cache, i.e. removes the last deap from the cache.
shrinkHeap(TreeSet<FCPair<Double, Integer>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
SignificantEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: The SignificantEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and chooses the contrast of an Eigenvalue to the remaining Eigenvalues is maximal.
SignificantEigenPairFilter() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter: Provides a new EigenPairFilter that sorts the eigenpairs in decending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as string eigenpairs.
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.FractionalSharedNearestNeighborSimilarityFunction
similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction
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.
SIMILARITY_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract: OptionID for SimilarityAdapterAbstract.SIMILARITY_FUNCTION_PARAM
SIMILARITY_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract: Parameter to specify the similarity function to derive the distance between database objects from.
SimilarityAdapterAbstract<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Adapter from a normalized similarity function to a distance function.
SimilarityAdapterAbstract() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract: Constructor
SimilarityAdapterArccos<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Adapter from a normalized similarity function to a distance function using arccos(sim).
SimilarityAdapterArccos() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterArccos
SimilarityAdapterLinear<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Adapter from a normalized similarity function to a distance function using 1 - sim.
SimilarityAdapterLinear() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLinear
SimilarityAdapterLn<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Adapter from a normalized similarity function to a distance function using -log(sim).
SimilarityAdapterLn() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLn
similarityFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: The similarity function for the shared nearest neighbor similarity.
similarityFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD: The similarity function.
similarityFunction - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract: Holds the similarity function.
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.data.model.CorrelationAnalysisSolution: The similarity matrix of the pca.
similarityMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: 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
SimpleEnumeratingScheme - Class in de.lmu.ifi.dbs.elki.data.cluster.naming: Simple enumerating naming scheme.
SimpleEnumeratingScheme(Clustering<?>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.naming.SimpleEnumeratingScheme: Constructor.
SimpleHierarchy<C extends HierarchyInterface<C>> - Class in de.lmu.ifi.dbs.elki.data.cluster: Hierarchy implementation with a per-object representation.
SimpleHierarchy(C, List<C>, List<C>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.SimpleHierarchy: Constructor for hierarchy object.
simulateParameters(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Compute new chisquared error This function also modifies the alpha and beta matrixes!
SingleStreamOutput - Class in de.lmu.ifi.dbs.elki.result.textwriter: Class to output all result data to a single stream (e.g.
SingleStreamOutput() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor using stdout.
SingleStreamOutput(boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor using stdout
SingleStreamOutput(File) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor with given file name.
SingleStreamOutput(File, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor with given file name.
SingleStreamOutput(FileDescriptor) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor with given FileDescriptor
SingleStreamOutput(FileDescriptor, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor with given FileDescriptor
SingleStreamOutput(FileOutputStream) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor with given FileOutputStream.
SingleStreamOutput(FileOutputStream, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Constructor with given FileOutputStream.
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 before 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.data.cluster.Cluster: Delegate to database object group.
size() - Method in interface de.lmu.ifi.dbs.elki.data.DatabaseObjectGroup: Retrieve the collection / data size.
size() - Method in class de.lmu.ifi.dbs.elki.data.DatabaseObjectGroupArray: Return the backing array length.
size() - Method in class de.lmu.ifi.dbs.elki.data.DatabaseObjectGroupCollection: Return the backing collections size.
size() - Method in class de.lmu.ifi.dbs.elki.data.KNNList: Returns the current size of this list.
size() - Method in class de.lmu.ifi.dbs.elki.data.model.Bicluster: The size of the cluster.
size - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Number of points in the cluster (-> density)
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.mktrees.MkTreeHeader: The size of this header in Bytes, which is 4 Bytes (for MkTreeHeader.k_max).
size() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Returns TreeIndexHeader.size() plus the value of MkTreeHeader.SIZE).
SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: The size of this header in Bytes, which is 4 Bytes (for RdKNNTreeHeader.k_max).
size() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: Returns TreeIndexHeader.size() plus the value of RdKNNTreeHeader.SIZE).
SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The size of this header in Bytes, which is 16 Bytes ( 4 Bytes for TreeIndexHeader.dirCapacity, TreeIndexHeader.leafCapacity, TreeIndexHeader.dirMinimum, and TreeIndexHeader.leafMinimum).
size() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Returns DefaultPageHeader.size() plus the value of TreeIndexHeader.SIZE).
size - Variable in class de.lmu.ifi.dbs.elki.math.Histogram: Size of array storage.
size() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs: Returns the number of the eigenpairs.
size() - Method in class de.lmu.ifi.dbs.elki.parser.ParsingResult: Provides the number of objects listed in this parsing result.
SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: The size of this header in Bytes, which is 8 Bytes ( 4 Bytes for DefaultPageHeader.FILE_VERSION and 4 Bytes for DefaultPageHeader.pageSize).
size() - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Returns the value of DefaultPageHeader.SIZE).
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 - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalVectorListElementSizeConstraint: Integer parameter providing the size constraint.
SIZE_SCALE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: OptionID for GeneratorXMLSpec.SIZE_SCALE_PARAM
SIZE_SCALE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Parameter to give the configuration file
sizeConstraint - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint: The list size constraint.
sizePanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel: If saving as JPEG/PNG show width/height infos here.
sizescale - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Parameter for scaling the cluster sizes.
skippackages - Variable in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties: Package to skip matches in - unreleased code.
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: Creates a new instance of a single link algorithm.
SLINK_LAMBDA - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK: Association ID for SLINK lambda value
SLINK_PI - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK: Association ID for SLINK pi pointer
small - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: "Small value" condition for stopping
small - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Holds the value of PCAFilteredRunner.SMALL_PARAM.
SMALL_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: OptionID for PCAFilteredRunner.SMALL_PARAM
SMALL_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: 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: Provides a shared nearest neighbor clustering algorithm, adding parameters SNNClustering.EPSILON_PARAM and SNNClustering.MINPTS_PARAM to the option handler additionally to parameters of super class.
SOD<V extends RealVector<V,Double>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
SOD() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD: Provides the SOD algorithm, adding parameters SOD.KNN_PARAM and SOD.ALPHA_PARAM to the option handler additionally to parameters of super class.
sod - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel
SOD_MODEL - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD: The association id to associate a subspace outlier degree.
SODModel<O extends RealVector<O,Double>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
SODModel(Database<O>, List<Integer>, double, O) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel
sodResult - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD: Holds the result.
solution - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Holds the solution.
solution - Variable in class de.lmu.ifi.dbs.elki.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(List<V>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans: Returns a list of clusters.
sortClusters(Map<BitSet, List<Pair<BitSet, DatabaseObjectGroupCollection<List<Integer>>>>>, 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.
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() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs: Creates a new empty SortedEigenPairs object.
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.data.model.Bicluster: Sorts the row and column ids in ascending order.
sortIDs() - Method in class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInverted: Sorts the row and column ids (and - if applicable - the ids of inverted rows) in ascending order.
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.
SparseFloatVector - Class in de.lmu.ifi.dbs.elki.data: A SparseFloatVector is to store real values approximately as float values.
SparseFloatVector(Map<Integer, Float>, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Provides a SparseFloatVector consisting of double values according to the specified mapping of indices and values.
SparseFloatVector(float[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Provides a SparseFloatVector consisting of double values according to the specified mapping of indices and values.
SparseFloatVectorLabelParser - Class in de.lmu.ifi.dbs.elki.parser: Provides a parser for parsing one point per line, attributes separated by whitespace.
SparseFloatVectorLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser
SparseFloatVectorProjectionParser - Class in de.lmu.ifi.dbs.elki.parser.meta: Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
SparseFloatVectorProjectionParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.SparseFloatVectorProjectionParser
SparseFloatVectorRandomProjectionParser - Class in de.lmu.ifi.dbs.elki.parser.meta: Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
SparseFloatVectorRandomProjectionParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.SparseFloatVectorRandomProjectionParser
SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector<O,?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.preprocessing: A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
SpatialApproximationMaterializeKNNPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.SpatialApproximationMaterializeKNNPreprocessor: Provides a k nearest neighbors Preprocessor.
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<V extends FeatureVector<V,?>,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: Index constructor.
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: Constructor.
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.
specfile - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: The configuration file.
spinner - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
spinnerHeight - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
spinnerQual - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
spinnerWidth - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
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.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 ",".
splitAtLastBlank(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.output.FormatUtil: Splits the specified string at the last blank before width.
splitAtLastBlank(String, int) - Method in class de.lmu.ifi.dbs.elki.utilities.output.PrettyPrinter: Splits the specified string at the last blank before columnWidth[column].
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.
sqrSum - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance: Sum of Squares
Sqrt2PI - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.GaussianFittingFunction: precomputed constant value of Sqrt(2*PI)
sqrtVector() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Square roots every element of the vector.
ssqerr(int, int, double[], double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.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
StandAloneApplication - Class in de.lmu.ifi.dbs.elki.application: StandAloneApplication sets additionally to the flags set by AbstractApplication the output parameter out.
StandAloneApplication() - Constructor for class de.lmu.ifi.dbs.elki.application.StandAloneApplication: Adds parameter StandAloneApplication.OUTPUT_PARAM to the option handler additionally to parameters of super class.
StandAloneInputApplication - Class in de.lmu.ifi.dbs.elki.application: StandAloneInputApplication extends StandAloneApplication and sets additionally the parameter in.
StandAloneInputApplication() - Constructor for class de.lmu.ifi.dbs.elki.application.StandAloneInputApplication: Adds parameter StandAloneInputApplication.INPUT_PARAM to the option handler additionally to parameters of super class.
StandardCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Class for building a "traditional" covariance matrix.
StandardCovarianceMatrixBuilder() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder
standardDeviation - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: The standard deviation within this solution.
START_TRACE_AT - Static variable in class de.lmu.ifi.dbs.elki.logging.ElkiLogRecord: Name of this class.
statements - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Actual CSS statements
stddev - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution: Standard deviation
stddev - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Stores the standard deviation in each dimension.
STDDEV_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: OptionID for AttributeWiseVarianceNormalization.STDDEV_PARAM
STDDEV_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Parameter for stddevs.
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
store - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Store the contained CSS classes.
STR_CHOOSE_FORMAT - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
STR_IMAGE_HEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
STR_IMAGE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
STR_IMAGE_WIDTH - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
STR_JPEG_QUALITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
STR_LOCK_ASPECT_RATIO - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
STR_RESET_IMAGE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
strategy - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: The strategy to determine the preference vector.
STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: OptionID for DiSHPreprocessor.STRATEGY_PARAM
STRATEGY_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Parameter Strategy.
stream - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Output stream
StreamFactory - Interface in de.lmu.ifi.dbs.elki.result.textwriter: Interface for output handling (single file, multiple files, ...)
strip - Variable in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties: Pattern to strip comments, while keeping commented class names.
STRONG_EIGENVECTOR_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID: The association id to associate the strong eigenvector weighted matrix of an object.
strongEigenPairs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs: The strong eigenpairs.
strongEigenvalues - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: The strong eigenvalues.
strongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: The strong eigenvectors of the hyperplane induced by the correlation.
strongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: 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
style - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Primary style information
Subspace<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data: Represents a subspace of the original data space.
Subspace(int) - Constructor for class de.lmu.ifi.dbs.elki.data.Subspace: Creates a new one-dimensional subspace of the original data space.
Subspace(SortedSet<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.data.Subspace: Creates a new k-dimensional subspace of the original data space.
subspacedim() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Return dimensionality of spanned subspace.
SubspaceDistance - Class in de.lmu.ifi.dbs.elki.distance: The subspace distance 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 consisting of the specified subspace distance and affine distance.
subspaceDistance - Variable in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance: The subspace distance.
SubspaceDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: 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.subspace.SubspaceDistanceFunction: Provides a distance function to determine distances between subspaces of equal dimensionality.
subspaceOutlierDegree(O, O, BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel
subspaces - Variable in class de.lmu.ifi.dbs.elki.data.model.AxesModel: Storage of BitSet for subspaces
sum - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance: Sum of values
superclass - Variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations: Super class
support - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Keeps the support of all evaluated bitsets.
supports - Variable in class de.lmu.ifi.dbs.elki.result.AprioriResult: The supports of all itemsets.
svd() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Singular Value Decomposition
svgCanvas - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
svgCanvas - Variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow
svgElement(String) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Create a SVG element in the SVG namespace.
svgElement(Document, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Create a SVG element in appropriate namespace
SVGPlot - Class in de.lmu.ifi.dbs.elki.visualization.svg: Base class for SVG plots.
SVGPlot() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Create a new plotting document.
SVGSaveDialog - Class in de.lmu.ifi.dbs.elki.visualization.savedialog: A save dialog to save/export a SVG image to a file.
SVGSaveDialog() - Constructor for class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog
SVGSimpleLinearAxis - Class in de.lmu.ifi.dbs.elki.visualization.svg: Class to draw a simple axis with tick marks on the plot.
SVGSimpleLinearAxis() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis
SVGSimpleLinearAxis.ALIGNMENT - Enum in de.lmu.ifi.dbs.elki.visualization.svg: Flag for axis label position.
SVGSimpleLinearAxis.ALIGNMENT() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis.ALIGNMENT
SVGUtil - Class in de.lmu.ifi.dbs.elki.visualization.svg: Utility class for SVG processing.
SVGUtil() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
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.