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.

Release 0.4.0 (2011-09-20_1324)
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