- 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 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
Edit-Distance measures
- 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
-
- EditDistance - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
Edit distance measures
Pantel, P. and Lin, D.
- EditDistance(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
- editDistanceFirst() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Get the editing distance to transform second clustering to first
clustering (normalized, 0 = unequal)
- editDistanceSecond() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Get the editing distance to transform second clustering to first
clustering (normalized, 0 = unequal)
- editFirst - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Edit operations for first clustering to second clustering.
- editItem - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
-
The "tabular edit" item.
- editOperationsBaseline - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Baseline for edit operations
- editOperationsBaseline() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Get the baseline editing Operations ( = total Objects)
- editOperationsFirst() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Get the editing operations required to transform first clustering to
second clustering
- editOperationsSecond() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Get the editing operations required to transform second clustering to
first clustering
- editSecond - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EditDistance
-
Edit operations for second clustering to first clustering.
- 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
-
- 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
-
- 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
-
- eigenPairFilter - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer
-
- 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.
- elementsAtRadius(List<DoubleIntPair>, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
-
Get the number of objects for a given radius, from the list of critical
distances, storing (radius, count) pairs.
- elemText - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
-
The label element
- ELKILogRecord - Class in de.lmu.ifi.dbs.elki.logging
-
- ELKILogRecord(Level, CharSequence) - Constructor for class de.lmu.ifi.dbs.elki.logging.ELKILogRecord
-
Constructor.
- ELKIServiceLoader - Class in de.lmu.ifi.dbs.elki.utilities
-
Class that emulates the behavior of an java ServiceLoader, except that the
classes are not automatically instantiated.
- ELKIServiceLoader(Class<?>, ClassLoader) - Constructor for class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
Constructor.
- ELKIServiceLoader(Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
Constructor, using the system class loader.
- 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(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, KMeansInitialization<V>) - 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
-
- embedOrThumbnail(int, PlotItem, VisualizationTask, Element) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
-
Produce thumbnail for a visualizer.
- 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.scatterplot.cluster.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.scatterplot.cluster
-
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.scatterplot.cluster.EMClusterVisualization
-
Constructor
- EMClusterVisualization.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
-
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.scatterplot.cluster.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_ITERATOR - Static variable in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
-
Empty DBID iterator
- 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
-
Constructor.
- EmptyDBIDs.EmptyDBIDIterator - Class in de.lmu.ifi.dbs.elki.database.ids
-
Iterator for empty DBIDs
- EmptyDBIDs.EmptyDBIDIterator() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
-
- EmptyIterator<T> - Class in de.lmu.ifi.dbs.elki.utilities.iterator
-
Empty iterator/iterable, that never returns any data.
- EmptyIterator() - Constructor for class de.lmu.ifi.dbs.elki.utilities.iterator.EmptyIterator
-
- EMPTYMAP - Static variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
-
Empty map.
- EMPTYMAP - Static variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
-
Empty map.
- 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.
- ENABLEVIS_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
-
Parameter to enable visualizers
Key: -vis.enable
Default: ELKI core
- enableVisualizers - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer
-
- encodeBase64(byte[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Base64
-
Encode a string as Base64.
- 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.parallel.selection.SelectionToolAxisRangeVisualization
-
- endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
-
- endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
-
- endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
-
- endDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.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(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
-
Compute the enlargement obtained by adding an object to an existing object.
- enlargementScaled(SpatialComparable, SpatialComparable, double) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
-
Compute the enlargement obtained by adding an object to an existing object.
- 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) - 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.
- ensureValid() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Repair the heap
- entries - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
-
The entries (children) of this node.
- entries - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
-
The entries we process.
- entropy - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
-
Entropy-based measures
- Entropy - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
Entropy based measures
References:
Meilă, M.
- Entropy(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Constructor.
- entropyConditionalFirst() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the conditional entropy of the first clustering.
- entropyConditionalSecond() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the conditional entropy of the first clustering.
- entropyFirst - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Entropy in first
- entropyFirst() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the entropy of the first clustering using Log_2.
- entropyJoint - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Joint entropy
- entropyJoint() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the joint entropy of both clusterings (not normalized, 0 = equal)
- entropyMutualInformation() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the mutual information (not normalized, 0 = equal)
- entropyNMIJoint() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the joint-normalized mutual information (normalized, 0 = unequal)
- entropyNMIMax() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the max-normalized mutual information (normalized, 0 = unequal)
- entropyNMIMin() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the min-normalized mutual information (normalized, 0 = unequal)
- entropyNMISqrt() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the sqrt-normalized mutual information (normalized, 0 = unequal)
- entropyNMISum() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the sum-normalized mutual information (normalized, 0 = unequal)
- entropyPowers() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get Powers entropy (normalized, 0 = equal)
Powers = 1 - NMI_Sum
- entropySecond - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Entropy in second
- entropySecond() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
-
Get the entropy of the second clustering using Log_2.
- 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.
- eps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES
-
The epsilon (in 2d) parameter
- eps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.Parameterizer
-
Query radius
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
-
- 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
-
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer
-
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.DBIDInstance
-
Range to query with
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate
-
Range to query with
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.NeighborListInstance
-
Range to query with
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer
-
Range to query with
- epsilon - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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).
- EpsilonNeighborPredicate<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
-
The default DBSCAN and OPTICS neighbor predicate, using an
epsilon-neighborhood.
- EpsilonNeighborPredicate(D, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate
-
Full constructor.
- EpsilonNeighborPredicate.DBIDInstance<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
-
Instance for a particular data set.
- EpsilonNeighborPredicate.DBIDInstance(D, RangeQuery<?, D>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.DBIDInstance
-
Constructor.
- EpsilonNeighborPredicate.NeighborListInstance<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
-
Instance for a particular data set.
- EpsilonNeighborPredicate.NeighborListInstance(D, RangeQuery<?, D>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.NeighborListInstance
-
Constructor.
- EpsilonNeighborPredicate.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
-
Parameterization class
- EpsilonNeighborPredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer
-
- epsilons - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator
-
Epsilon values for different subspace dimensionalities
- 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 interface de.lmu.ifi.dbs.elki.database.ids.DBID
-
In contrast to
DBIDRef, the DBID interface is supposed to have a
stable equals for other DBIDs.
- equals(Object) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDRef
-
Deprecated.
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
-
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs.DBIDItr
-
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DBIDItr
-
- 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.ids.integer.IntegerDBIDRange.DBIDItr
-
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayDBIDs.DBIDItr
-
- 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.JeffreyDivergenceDistanceFunction
-
- 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.distance.distancevalue.DoubleDistance
-
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
-
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
-
- 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(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Compare for equality.
- equals(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Test for equality
- equals(Object) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
-
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.DoublePriorityObject
-
- 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.statistics.distribution.NormalDistribution
-
Error function for Gaussian distributions = Normal distributions.
- ERFAPP_A - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erf approximation.
- ERFAPP_B - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erf approximation.
- ERFAPP_C - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erf approximation.
- ERFAPP_D - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erf approximation.
- ERFAPP_P - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erf approximation.
- ERFAPP_Q - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erf approximation.
- erfc(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
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.statistics.distribution.NormalDistribution
-
Inverse error function.
- ERFINV_A - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erfinv approximation, rational version
- ERFINV_B - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erfinv approximation, rational version
- ERFINV_C - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
Coefficients for erfinv approximation, rational version
- ERFINV_D - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
-
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.
- ErrorFormatter - Class in de.lmu.ifi.dbs.elki.logging
-
Format a log record for error output, including a stack trace if available.
- ErrorFormatter() - Constructor for class de.lmu.ifi.dbs.elki.logging.ErrorFormatter
-
Constructor.
- 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
- estimate(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
Mean least squares estimation of Gamma distribution to a set of
observations.
- estimate(double[], int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
Mean least squares estimation of Gamma distribution to a set of
observations.
- 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.parallel.selection.SelectionToolAxisRangeVisualization
-
Element for the rectangle to add listeners
- etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
-
Element for the rectangle to add listeners
- etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
-
Element for the rectangle to add listeners
- etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
-
Element for the rectangle to add listeners
- etag - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.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.
- euclideanLength(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Euclidean length of the vector
- euclideanValue - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance
-
The euclidean distance.
- EULERS_CONST - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
-
Euler–Mascheroni constant
- 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
-
- EvaluateClustering - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
Evaluate a clustering result by comparing it to an existing cluster label.
- EvaluateClustering(ClusteringAlgorithm<?>, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
-
Constructor.
- EvaluateClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
Parameterization class.
- EvaluateClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer
-
- EvaluateClustering.ScoreResult - Class in de.lmu.ifi.dbs.elki.evaluation.clustering
-
Result object for outlier score judgements.
- EvaluateClustering.ScoreResult(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.ScoreResult
-
Constructor.
- 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.
- 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(HierarchicalResult, 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
-
- 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.
- EVT_DBLCLICK_DELAY - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.SegmentListenerProxy
-
Mouse double click time window in milliseconds
TODO: does Batik have double click events?
- 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.data.ClassLabel.Factory
-
Set for reusing the same objects.
- 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(Relation<O>, 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.
- expandNode(O, KNNHeap<DoubleDistance>, Heap<DoubleDistanceSearchCandidate>, double, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
-
- expandNode(O, KNNHeap<D>, Heap<GenericDistanceSearchCandidate<D>>, D, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery
-
- 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.
- expect - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier
-
Expected share of outliers.
- expect - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier.Parameterizer
-
Expected share of outliers
- EXPECT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier
-
Expected share of outliers
- expectationOfVariance - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.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.
- 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
-
- EXPONENTS_ID - Static variable in class tutorial.distancefunction.MultiLPNorm.Parameterizer
-
Option ID for the exponents
-multinorm.ps
- exportItem - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
-
The "Export" button, to save the image
- ExportVisualizations - Class in de.lmu.ifi.dbs.elki.visualization
-
Class that automatically generates all visualizations and exports them into
SVG files.
- ExportVisualizations(File, VisualizerParameterizer, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations
-
Constructor.
- ExportVisualizations.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization
-
Parameterization class
- ExportVisualizations.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations.Parameterizer
-
- extend(SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox
-
Extend the bounding box by some other spatial object
- extend(A, ArrayAdapter<T, A>, T) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ExtendedArray
-
Static wrapper that has a nicer generics signature.
- ExtendedArray<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
-
Class to extend an array with a single element virtually.
- ExtendedArray(Object, ArrayAdapter<T, Object>, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ExtendedArray
-
Constructor.
- 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
-
- extendMBR(SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry
-
Extend the MBR of this node.
- 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
-
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.
- 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
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- ExternalizablePage - Interface in de.lmu.ifi.dbs.elki.persistent
-
Base interface for externalizable pages.
- 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
-
- extra - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ExtendedArray
-
The extra element
- extractAndRemoveIDs(List<? extends Collection<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.
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