A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

E

e - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

Arrays for internal storage of eigenvalues.

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

The (n x 1) - vector holding the estimated residuals (e1, ..., en)^T.

e - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier

Provides the attribute to be modified.

e_czech - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The selection matrix of the strong eigenvectors.

e_hat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The selection matrix of the weak eigenvectors.

ecurr - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepScanPosition

Current entry

EDIT_CLEAR - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

EDIT_REDO - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

EDIT_UNDO - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

editItem - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

The "tabular edit" item.

EDRDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Provides the Edit Distance on Real Sequence distance for FeatureVectors.

EDRDistanceFunction(double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction

Constructor.

EDRDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Parameterization class.

EDRDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer

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

Eigenvalue Decomposition

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

Helper class which encapsulates an eigenvector and its corresponding eigenvalue.

EigenPair(Vector, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair

Creates a new EigenPair object.

EIGENPAIR_FILTER_ABSOLUTE - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter

"absolute" Flag

EIGENPAIR_FILTER_COMPOSITE_LIST - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter

The list of filters to use.

EIGENPAIR_FILTER_DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter

Parameter delta

EIGENPAIR_FILTER_N - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter

Paremeter n

EIGENPAIR_FILTER_PALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

Parameter progressive alpha.

EIGENPAIR_FILTER_RALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

Parameter relative alpha.

EIGENPAIR_FILTER_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter

OptionID for the weak alpha value of WeakEigenPairFilter, ProgressiveEigenPairFilter and SignificantEigenPairFilter

EigenPairFilter - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

The eigenpair filter is used to filter eigenpairs (i.e. eigenvectors and their corresponding eigenvalues) which are a result of a Variance Analysis Algorithm, e.g.

eigenPairFilter - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Holds the instance of the EigenPairFilter specified by PCAFilteredRunner.PCA_EIGENPAIR_FILTER.

eigenPairFilter - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

Holds the instance of the EigenPairFilter specified by PCAFilteredRunner.PCA_EIGENPAIR_FILTER.

eigenPairs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult

The eigenpairs in decreasing order.

eigenPairs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

The array of eigenpairs.

eigenvalue - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair

The corresponding eigenvalue.

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

Eigenvalues and eigenvectors of a real matrix.

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

Check for symmetry, then construct the eigenvalue decomposition

eigenvalues - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult

The eigenvalues in decreasing order.

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

Returns the sorted eigenvalues.

eigenvector - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair

The eigenvector as a matrix.

eigenvectors - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult

The eigenvectors in decreasing order to their corresponding eigenvalues.

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

Returns the sorted eigenvectors.

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

Returns the first n sorted eigenvectors as a matrix.

element - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Our element node.

elementCoordinatesFromEvent(Element, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Convert screen coordinates to element coordinates.

elementCoordinatesFromEvent(Document, Element, Event) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Convert the coordinates of an DOM Event from screen into element coordinates.

elementLine - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

The line element

elementPoint - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

The drag handle element

elements - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

The covariance matrix

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

Array for internal storage of elements.

elements - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Array for internal storage of elements.

elemText - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

The label element

ELKI_PROPERTIES - Static variable in class de.lmu.ifi.dbs.elki.properties.Properties

The Properties for ELKI.

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

Base LogRecord class used in ELKI.

ELKILogRecord(Level, CharSequence) - Constructor for class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

Constructor.

ellipticalArc(double, double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Elliptical arc curve to the given coordinates.

ellipticalArc(Vector, double, double, double, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Elliptical arc curve to the given coordinates.

EM<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Provides the EM algorithm (clustering by expectation maximization).

EM(int, double, Long) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

Constructor.

em - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier.Parameterizer

EM.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Parameterization class.

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

EMBLEM_IMPORTANT - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

EMBORDER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization

Generic tags to indicate the type of element.

emClustering - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier

Inner algorithm.

EMClusterVisualization<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

Visualizer for generating SVG-Elements containing ellipses for first, second and third standard deviation

EMClusterVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization

Constructor

EMClusterVisualization.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

Visualizer for generating SVG-Elements containing ellipses for first, second and third standard deviation

EMClusterVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization.Factory

Constructor

EMModel<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model of an EM cluster, providing a mean and a full covariance Matrix.

EMModel(V, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.data.model.EMModel

Constructor.

EMOutlier<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

outlier detection algorithm using EM Clustering.

EMOutlier(EM<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier

Constructor with an existing em clustering algorithm.

EMOutlier.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Parameterization class.

EMOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier.Parameterizer

EMPTY - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Empty line pattern.

EMPTY_ENUMERATION - Variable in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration

Represents an empty enumeration.

EMPTY_PAGE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile

Indicates an empty page.

EMPTY_PAGE - Static variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Indicates an empty page.

EmptyDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource

Pseudo database that is empty.

EmptyDatabaseConnection() - Constructor for class de.lmu.ifi.dbs.elki.datasource.EmptyDatabaseConnection

Constructor.

EMPTYDBIDS - Static variable in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Final, global copy of empty DBIDs.

EmptyDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids

Empty DBID collection.

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

EmptyIterator<T> - Class in de.lmu.ifi.dbs.elki.utilities.iterator

Empty iterator, that never returns any data.

EmptyIterator() - Constructor for class de.lmu.ifi.dbs.elki.utilities.iterator.EmptyIterator

emptyPages - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile

A stack holding the empty page ids.

emptyPagesSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

The number of bytes additionally needed for the listing of empty pages of the headed page file.

EmptyParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Parameterization handler that only allows the use of default values.

EmptyParameterization() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization

enableStart() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Enable capturing of 'mousedown' events.

enableStop() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Enable capturing of 'mousemove' and 'mouseup' events.

encoder - Variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.StringSerializer

Encoder

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in interface de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea.DragListener

Method called when a drag was ended.

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Method called when a drag was ended.

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization

endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization

endindex - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepArea

End index of down-area

endIndex - Variable in class de.lmu.ifi.dbs.elki.data.model.OPTICSModel

End index

Enlargement<E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util

Encapsulates the parameters for enlargement of nodes after insertion of new objects.

Enlargement(TreeIndexPathComponent<E>, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.Enlargement

Creates an new Enlargement object with the specified parameters.

ensureArray(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Ensure that the given DBIDs are array-indexable.

ensureClusteringResult(Database, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil

Ensure that the result contains at least one Clustering.

ensureCompleted(Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress

Ensure that the progress was completed, to make progress bars disappear

ensureModifiable(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Ensure modifiable

ensureSelectionResult(Database, Result) - Static method in class de.lmu.ifi.dbs.elki.result.ResultUtil

Ensure that there also is a selection container object.

ensureSet(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Ensure that the given DBIDs support fast "contains" operations.

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

Ensure that the file can fit the given number of records.

entries - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

The entries (children) of this node.

entry - Variable in class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry

The entry of the Index.

Entry - Interface in de.lmu.ifi.dbs.elki.index.tree

Defines the requirements for an entry in an index structure.

entry - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry

Referenced entry

entry - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexPathComponent

The entry of this component.

entry1 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair

The first entry of this pair.

entry2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair

The second entry of this pair.

entrySet() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

The items contained in the map.

enumClass - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter

Reference to the actual enum type, for T.valueOf().

EnumParameter<E extends Enum<E>> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying an enum type.

EnumParameter(OptionID, Class<E>, E) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter

Constructs an enum parameter with the given optionID, constraints and default value.

EnumParameter(OptionID, Class<E>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter

Constructs an enum parameter with the given optionID, constraints and default value.

EnumParameter(OptionID, Class<E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter

Constructs an enum parameter with the given optionID, constraints and default value.

EnumParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator

Panel to configure EnumParameters by offering a dropdown to choose from.

EnumParameterConfigurator(EnumParameter<?>, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.EnumParameterConfigurator

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

Epanechnikov kernel density estimator.

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

Private, empty constructor.

epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN

Holds the value of AbstractProjectedDBSCAN.EPSILON_ID.

epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer

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

Holds the value of DBSCAN.EPSILON_ID.

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

epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Hold the value of OPTICS.EPSILON_ID.

epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.Parameterizer

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

Holds the value of SNNClustering.EPSILON_ID.

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

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

Holds the value of DiSH.EPSILON_ID.

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

epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Holds the value of SUBCLU.EPSILON_ID.

epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer

epsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction

Holds the value of AbstractPreferenceVectorBasedCorrelationDistanceFunction.EPSILON_ID.

epsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance

The epsilon value

epsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex

Query epsilon

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory

Holds the value of RangeQueryFilteredPCAIndex.Factory.EPSILON_ID.

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory.Parameterizer

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

The epsilon value for each dimension;

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

The epsilon value for each dimension;

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer

The epsilon value for each dimension;

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex

Contains the value of parameter epsilon;

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory

Contains the value of parameter epsilon;

epsilon - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer

Contains the value of parameter epsilon;

epsilon - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

The current epsilon value.

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN

Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to LocallyWeightedDistanceFunction.

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

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

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

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

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Parameter to specify the minimum SNN density, must be an integer greater than 0.

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Parameter that specifies the maximum radius of the neighborhood to be considered in each dimension for determination of the preference vector, must be a double equal to or greater than 0.

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to AbstractDimensionsSelectingDoubleDistanceFunction.

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction

Parameter to specify the maximum distance between two vectors with equal preference vectors before considering them as parallel, must be a double equal to or greater than 0.

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.RangeQueryFilteredPCAIndex.Factory

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

EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

A comma separated list of positive doubles specifying the maximum radius of the neighborhood to be considered in each dimension for determination of the preference vector (default is DiSHPreferenceVectorIndex.Factory.DEFAULT_EPSILON in each dimension).

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

equals(Object) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair

equals is used in updating the heap!

equals(Object) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Individuum

equals(Object) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector

An Object obj is equal to this AbstractNumberVector if it is an instance of the same runtime class and is of the identical dimensionality and the values of this AbstractNumberVector are equal to the values of obj in all dimensions, respectively.

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

Indicates whether some other object is "equal to" this BitVector.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.data.ClassLabel

Any ClassLabel should ensure a natural ordering that is consistent with equals.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.data.ExternalID

equals(Object) - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox

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

Two RationalNumbers are considered to be equal if both denominators and numerators are equal, respectively.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel

Any ClassLabel should ensure a natural ordering that is consistent with equals.

equals(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil

Test two SpatialComparables for equality.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.data.Subspace

Indicates if the specified object is equal to this subspace, i.e. if the specified object is a Subspace and is built of the same dimensions than this subspace.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

Simple equals statement.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair

equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.query.GenericDistanceResultPair

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedLPNormDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedSquaredEuclideanDistanceFunction

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.AbstractDistance

Returns true if this == o has the value true or o is not null and o is of the same class as this instance and this.compareTo(o) is 0, false otherwise.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Returns true if this == o has the value true or o is not null and o is of the same class as this instance and super.equals(o) returns true and both nodes are of the same type (leaf node or directory node) and have contain the same entries, false otherwise.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath

Returns true if this == o has the value true or o is not null and o is of the same class as this instance and the two index paths are of the same length, and contain the same components (.equals), false otherwise.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine

Returns true if this object is the same as the o argument; false otherwise.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

Indicates whether some other object is "equal to" this one.

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

Indicates whether some other object is "equal to" this one.

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

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.query.GenericDistanceSearchCandidate

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexPathComponent

Returns true if this == o has the value true or o is not null and o is of the same class as this instance and if the entry of this component equals the entry of the o argument, false otherwise.

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

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

equals(Object) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPage

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.result.optics.GenericClusterOrderEntry

Indicates whether some other object is "equal to" this one.

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

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

Trivial equals implementation

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

Trivial equals implementation

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

Trivial equals implementation

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

Trivial equals implementation

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair

Simple equals statement.

equals(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple

Canonical equals function

equals(Object) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

EqualSizeGlobalConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Global parameter constraint defining that a number of list parameters ( ListParameter ) must have equal list sizes.

EqualSizeGlobalConstraint(List<ListParameter<?>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualSizeGlobalConstraint

Creates a global parameter constraint for testing if a number of list parameters have equal list sizes.

EqualStringConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Represents a parameter constraint for testing if the string value of the string parameter ( StringParameter ) to be tested is equal to the specified constraint-strings.

EqualStringConstraint(String[]) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualStringConstraint

Creates an Equal-To-String parameter constraint.

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

Returns a string representation of this equation system.

equationsToString(String, NumberFormat) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Returns a string representation of this equation system.

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

Returns a string representation of this equation system.

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

Returns a string representation of this equation system.

erf(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Error function for Gaussian distributions = Normal distributions.

ERFAPP_A - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erf approximation.

ERFAPP_B - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erf approximation.

ERFAPP_C - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erf approximation.

ERFAPP_D - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erf approximation.

ERFAPP_P - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erf approximation.

ERFAPP_Q - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erf approximation.

erfc(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Complementary error function for Gaussian distributions = Normal distributions.

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

Gaussian Error Function Weight function, scaled using stddev.

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

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

Gaussian Error Function Weight function, scaled such that the result it 0.1 at distance == max erfc(1.1630871536766736 * distance / max) The value of 1.1630871536766736 is erfcinv(0.1), to achieve the intended scaling.

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

erfinv(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Inverse error function.

ERFINV_A - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erfinv approximation, rational version

ERFINV_B - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erfinv approximation, rational version

ERFINV_C - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erfinv approximation, rational version

ERFINV_D - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Coefficients for erfinv approximation, rational version

ERiC<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Performs correlation clustering on the data partitioned according to local correlation dimensionality and builds a hierarchy of correlation clusters that allows multiple inheritance from the clustering result.

ERiC(COPAC<V, IntegerDistance>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Constructor.

ERiC.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Parameterization class.

ERiC.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer

ERiCDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Provides a distance function for building the hierarchy in the ERiC algorithm.

ERiCDistanceFunction(IndexFactory<NumberVector<?, ?>, FilteredLocalPCAIndex<NumberVector<?, ?>>>, double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction

Constructor.

ERiCDistanceFunction.Instance<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

The actual instance bound to a particular database.

ERiCDistanceFunction.Instance(Relation<V>, FilteredLocalPCAIndex<V>, ERiCDistanceFunction, double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Instance

Constructor.

ERiCDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Parameterization class.

ERiCDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Parameterizer

ERPDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Provides the Edit Distance With Real Penalty distance for FeatureVectors.

ERPDistanceFunction(double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction

Constructor.

ERPDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Parameterization class.

ERPDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction.Parameterizer

err - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Output stream for error output.

errformat - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Formatter for error messages

errformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Formatter for error messages

error(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'severe' level.

error(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'severe' level.

errors - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization

Errors

errors - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization

Errors

errorsTo(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization

Set the error target, since there is no unique way where errors can be reported.

errorTarget - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization

Error target

errorVector(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

Returns the error vectors after projection.

errStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Error message style

estimateTransformString(double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

estimateTransformString(double, double, double) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D

Get a SVG transformation string to bring the contents into the unit cube.

estimateTransformString(double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D

estimateViewport() - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

estimateViewport() - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection2D

Estimate the viewport requirements

estimateViewport() - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D

estimateY(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

Perform an estimation of y on the specified matrix.

estimateY(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression

Performs an estimation of y on the specified x value.

esucc - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepScanPosition

Next entry

etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

Element for the events

etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization

Element for the rectangle to add listeners

etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization

Element for the rectangle to add listeners

etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization

Element for the rectangle to add listeners

EUCLIDEAN_KAPPA - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere

Factor used for approximating circles with cubic beziers.

euclideanDistance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance

Computes the Euclidean distance between the given two vectors.

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

Provides the Euclidean distance for FeatureVectors.

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

Deprecated. Use static instance!

EuclideanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

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

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

Returns the length of this vector.

euclideanValue - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance

The euclidean distance.

eval(double, double[]) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.FittingFunction

Compute value at position x as well as gradients for the parameters

eval(double, double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.GaussianFittingFunction

compute the mixture of Gaussians at the given position

evals - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel

The data input configured

evals - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel

Algorithm step to run on.

evalTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

evaluateClusters(Map<DBID, PROCLUS<V>.PROCLUSCluster>, Map<DBID, Set<Integer>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Evaluates the quality of the clusters.

evaluateOutlierResult(Database, OutlierResult) - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram

Evaluate a single outlier result as histogram.

EvaluatePairCountingFMeasure - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting

Evaluate a clustering result by comparing it to an existing cluster label.

EvaluatePairCountingFMeasure(ClusteringAlgorithm<?>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.EvaluatePairCountingFMeasure

Constructor.

EvaluatePairCountingFMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting

Parameterization class.

EvaluatePairCountingFMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.EvaluatePairCountingFMeasure.Parameterizer

EvaluatePairCountingFMeasure.ScoreResult - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting

Result object for outlier score judgements.

EvaluatePairCountingFMeasure.ScoreResult(Collection<Vector>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.EvaluatePairCountingFMeasure.ScoreResult

Constructor.

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

Evaluate a distance function with respect to kNN queries.

EvaluateRankingQuality(DistanceFunction<? super V, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality

Constructor.

EvaluateRankingQuality.Parameterizer<V extends NumberVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Parameterization class.

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

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

The evaluation step.

evaluationStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

EvaluationStep - Class in de.lmu.ifi.dbs.elki.workflow

The "evaluation" step, where data is analyzed.

EvaluationStep(List<Evaluator>) - Constructor for class de.lmu.ifi.dbs.elki.workflow.EvaluationStep

Constructor.

EvaluationStep.Evaluation - Class in de.lmu.ifi.dbs.elki.workflow

Class to handle running the evaluators on a database instance.

EvaluationStep.Evaluation(Database, List<Evaluator>) - Constructor for class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation

Constructor.

EvaluationStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow

Parameterization class.

EvaluationStep.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer

EvaluationTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels

Panel to handle result evaluation

EvaluationTabPanel(InputTabPanel, AlgorithmTabPanel) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel

Constructor.

Evaluator - Interface in de.lmu.ifi.dbs.elki.evaluation

Interface for post-algorithm evaluations, such as histograms, outlier score evaluations, ...

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

OptionID for EvaluationStep

evaluators - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation

Evaluators to run.

evaluators - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep

Evaluators to run

evaluators - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer

Evaluators to run

eventarea - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

Sensitive (clickable) area

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

The event manager, collects events and fires them on demand.

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

Sampling

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

Sampling

EXACT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

Flag to compute exact value range for binning.

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

Perform an exact Gauss-elimination of this Matrix using RationalNumbers to yield highest possible accuracy.

exactGaussElimination(RationalNumber[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Perform recursive Gauss-elimination on the given matrix of RationalNumbers.

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

Returns a matrix derived by Gauss-Jordan-elimination using RationalNumbers for the transformations.

exactMedian(Relation<V>, DBIDs, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil

Returns the median of a data set in the given dimension.

exactMinMax(Relation<O>, DistanceQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

exception(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message with exception at the 'severe' level.

exception(Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log an exception at the 'severe' level.

exception(Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Static version to log a severe exception.

exception(String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Static version to log a severe exception.

ExceptionMessages - Interface in de.lmu.ifi.dbs.elki.utilities.exceptions

Interface to collect exception messages that are used in several cases.

execute() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Execute the task.

executed - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel

Signal when an database input has been executed.

executeResize(double) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer

Callback function that needs to be overridden with actual implementations.

executeStep() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel

executeStep() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel

executeStep() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel

executeStep() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.LoggingTabPanel

executeStep() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel

executeStep() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Execute the configured step.

existed - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile

Whether or not the file originally existed

existed - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Whether we are initializing from an existing file.

existing - Variable in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView

The database we use

expandCluster(LocallyWeightedDistanceFunction.Instance<V>, RangeQuery<V, DoubleDistance>, DBID, FiniteProgress, IndefiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN

ExpandCluster function of DBSCAN.

expandCluster(Database, RangeQuery<O, D>, DBID, FiniteProgress, IndefiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

DBSCAN-function expandCluster.

expandCluster(SimilarityQuery<O, IntegerDistance>, DBID, FiniteProgress, IndefiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

DBSCAN-function expandCluster adapted to SNN criterion.

expandClusterOrder(ClusterOrderResult<D>, Database, RangeQuery<O, D>, DBID, D, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

OPTICS-function expandClusterOrder.

expandClusterOrderDouble(ClusterOrderResult<DoubleDistance>, Database, RangeQuery<O, DoubleDistance>, DBID, DoubleDistance, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

OPTICS-function expandClusterOrder.

expandDirNodes(SpatialPrimitiveDistanceFunction<NV, D>, DeLiCluNode, DeLiCluNode) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Expands the specified directory nodes.

expanded - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Holds the ids of the expanded nodes.

expandLeafNodes(SpatialPrimitiveDistanceFunction<NV, D>, DeLiCluNode, DeLiCluNode, DataStore<KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Expands the specified leaf nodes.

expandNodes(DeLiCluTree, SpatialPrimitiveDistanceFunction<NV, D>, DeLiClu<NV, D>.SpatialObjectPair, DataStore<KNNList<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Expands the spatial nodes of the specified pair.

expectationOfVariance - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODModel

expectedModCount - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap.Itr

Modification counter this iterator is valid for.

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

Write page through to disk.

explain(double) - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.Distribution

Return the density of an existing value

explain(double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.GammaDistribution

Return the PDF of the generators distribution

explain(double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution

Return the PDF of the generators distribution

explain(double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution

Return the PDF of the generators distribution

explainedVariance - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The amount of Variance explained by strong Eigenvalues

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

Exponential Weight function, scaled such that the result it 0.1 at distance == max stddev * exp(-.5 * distance/stddev) This is similar to the Gaussian weight function, except distance/stddev is not squared.

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

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

Exponential Weight function, scaled such that the result it 0.1 at distance == max exp(-2.3025850929940455 * distance/max) This is similar to the Gaussian weight function, except distance/max is not squared

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

exportItem - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

The "Export" button, to save the image

ExtendedNeighborhood - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Neighborhood obtained by computing the k-fold closure of an existing neighborhood.

ExtendedNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood

Constructor.

ExtendedNeighborhood.Factory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Factory class.

ExtendedNeighborhood.Factory(NeighborSetPredicate.Factory<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory

Constructor.

ExtendedNeighborhood.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Parameterization class.

ExtendedNeighborhood.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

extendNeighborhood(Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory

Method to load the external neighbors.

EXTENSION - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

File name extension.

ExternalDoubleOutlierScore - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

External outlier detection scores, loading outlier scores from an external file.

ExternalDoubleOutlierScore(File, Pattern, Pattern, boolean, ScalingFunction) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

Constructor.

ExternalDoubleOutlierScore.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Parameterization class

ExternalDoubleOutlierScore.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

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

External ID objects.

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

Constructor.

EXTERNALID - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

External ID type

EXTERNALID_INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter

Optional parameter that specifies the index of the label to be used as external Id, must be an integer equal to or greater than 0.

ExternalIDFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter

Class that turns a label column into an external ID column.

ExternalIDFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter

Constructor.

ExternalIDFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter

Parameterization class.

ExternalIDFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter.Parameterizer

externalIdIndex - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter

The index of the label to be used as external Id, null if no external id index is specified.

externalIdIndex - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ExternalIDFilter.Parameterizer

ExternalIDJoinDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource

Joins multiple data sources by their label

ExternalIDJoinDatabaseConnection(List<ObjectFilter>, List<DatabaseConnection>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection

Constructor.

ExternalIDJoinDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource

Parameterization class.

ExternalIDJoinDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection.Parameterizer

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance

Returns the number of Bytes this distance uses if it is written to an external file.

externalizableSize() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance

Returns the number of Bytes this distance uses if it is written to an external file.

ExternalNeighborhood - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

A precomputed neighborhood, loaded from an external file.

ExternalNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood

Constructor.

ExternalNeighborhood.Factory - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Factory class.

ExternalNeighborhood.Factory(File) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory

Constructor.

ExternalNeighborhood.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Parameterization class.

ExternalNeighborhood.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Parameterizer

extractAndRemoveIDs(List<List<DistanceResultPair<D>>>, ArrayDBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

Extracts and removes the DBIDs in the given collections.

extractClusters(ClusterOrderResult<N>, Relation<?>, double, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi

Extract clusters from a cluster order result.

extractClusters(DBIDs, DataStore<DBID>, DataStore<D>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Extract all clusters from the pi-lambda-representation.

extractClusters(Relation<V>, DiSHDistanceFunction.Instance<V>, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Extracts the clusters from the cluster order.

extractClusters_erich(DBIDs, DataStore<DBID>, DataStore<D>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Extract all clusters from the pi-lambda-representation.

extractCorrelationClusters(Clustering<Model>, Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Extracts the correlation clusters and noise from the copac result and returns a mapping of correlation dimension to maps of clusters within this correlation dimension.

extraIntegrityChecks - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Debugging flag: do extra integrity checks

extraIntegrityChecks - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Development flag: This will enable some extra integrity checks on the tree.

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

Determines the value for alpha_n where this function has a (local) extremum.

extremumType - Variable in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction

Holds the type of the global extremum.

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

Returns the type of the extremum at the specified alpha values.