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

The selection matrix of the strong eigenvectors.

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

The selection matrix of the weak eigenvectors.

edges - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

The edges of this node.

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

Creates a new EigenPair object.

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

Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.

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

The eigenpair filter to determine the strong and weak eigenvectors.

EigenPairFilter - Interface in de.lmu.ifi.dbs.elki.varianceanalysis

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.

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

Returns the sorted eigenvalues.

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

The eigenvalues in decreasing order.

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

The eigenvector as a matrix.

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.

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

The eigenvectors in decreasing order to their corresponding eigenvalues.

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

Array for internal storage of elements.

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

Provides the EM algorithm (clustering by expectation maximization).

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

Provides the EM algorithm (clustering by expectation maximization).

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

OptionID for EM.DELTA_PARAM

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

OptionID for EM.K_PARAM

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

// todo arthur comment

EMClusters(Integer[][], Database<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.EMClusters

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

// todo arthur comment

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

todo comment

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

Represents an empty enumeration.

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

Represents an empty enumeration.

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

Indicates an empty page.

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

A stack holding the empty page ids.

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.

enqueue(O) - Method in class de.lmu.ifi.dbs.elki.utilities.Queue

Appends the specified object to the end of the queue.

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.TreeIndexPathComponent

The entry of the component.

entry - Variable in class de.lmu.ifi.dbs.elki.properties.PropertyDescription

Entry of property.

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.

Enumeratable<E extends Enumeratable<E>> - Interface in de.lmu.ifi.dbs.elki.utilities

Defines the requirements for an enumeratable object, i.e. an object which allows to enumerate over its children (e.g. a node in a tree).

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

Holds the value of DBSCAN.EPSILON_PARAM.

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

Hold the value of the epsilon parameter.

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

Epsilon.

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

Holds the Epsilon value.

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

Holds the value of epsilon parameter.

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

Holds the value of epsilon parameter.

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

The epsilon value for each dimension;

epsilon - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

Contains the value of parameter epsilon;

epsilon - Variable in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor

Epsilon.

EPSILON_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

Description for parameter epsilon.

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

Description for parameter epsilon.

EPSILON_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor

Description for parameter epsilon.

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

OptionID for DBSCAN.EPSILON_PARAM

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

OptionID for SNNClustering.EPSILON_PARAM

EPSILON_P - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

Option string for parameter epsilon.

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

Option string for parameter epsilon.

EPSILON_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor

Parameter for epsilon.

EPSILON_PARAM - 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_PARAM - 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_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

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

EPSILON_PARAM - 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_PARAM - 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_PARAM - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

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

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.OPTICS.COEntry

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

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

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

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

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

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

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

equals(Object) - Method in class de.lmu.ifi.dbs.elki.converter.WekaAbstractAttribute

This equals o, if both are of the same type and this.compareTo((W) o) returns 0.

equals(Object) - Method in interface de.lmu.ifi.dbs.elki.converter.WekaAttribute

To attributes are considered to be equal, if they are of the same type and the comparison by compareTo results in 0.

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

This BitVector is equal to a given Object, if the Object is a BitVector of same dimensionality and with identical bits set.

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 interface de.lmu.ifi.dbs.elki.data.DatabaseObject

Equality of DatabaseObject should be defined by their values regardless of their id.

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

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

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

Returns true if 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.DoubleDistance

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

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

Returns true if 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.index.tree.AbstractEntry

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

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

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

equals(Object) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.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.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.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.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.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.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.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

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

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

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

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

Tests two IndexPaths for equality by checking each element of the paths for equality.

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

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

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

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.utilities.ConstantObject

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

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

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

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

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

Verifies if this Object is equals to Object obj.

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

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

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

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

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

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

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

Returns a string representation of this equation system.

ERiC<V extends RealVector<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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Performs the COPAC algorithm on the data and builds a hierarchy of correlation clusters that allows multiple inheritance from the clustering result.

ERiCDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

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

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

Provides a distance function for the ERiC algorithm.

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

Performes an estimatation of y on the specified matrix.

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

Performes an estimatation of y on the specified x value.

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

Computes the Euklidean distance between the given two vectors.

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

Returns the euclidean norm of the col column.

EuklideanDistanceFunction<T extends NumberVector<T,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Provides the Euklidean distance for FeatureVectors.

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

Provides a Euklidean distance function that can compute the Euklidean distance (that is a DoubleDistance) for FeatureVectors.

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

The euclidean distance.

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

Evaluates the quality of the clusters.

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

Performes 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

Performes recursivly 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.

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

Log an EXCEPTION message.

exception(String, Throwable) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable

Log an EXCEPTION message.

EXCEPTION - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel

EXCEPTION is a message level indicating a serious failure.

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

A filter for exception logs - suitable for handling severe error messages.

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

Provides a filter for exception logs (LogRecords of level EXCEPTION).

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

A formatter to format exception messages.

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

Provides an exception formatter for exception messages.

expandCluster(Database<O>, Integer, Progress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

DBSCAN-function expandCluster.

expandCluster(Database<V>, Integer, Progress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

ExpandCluster function of DBSCAN.

expandCluster(Database<O>, Integer, Progress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

DBSCAN-function expandCluster adapted to SNN criterion.

expandClusterOrder(Database<O>, Integer, Progress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

OPTICS-function expandClusterOrder.

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

Expands the specified directory nodes.

expandNodes(DeLiCluTree<O>, SpatialDistanceFunction<O, D>, DeLiClu<O, D>.SpatialObjectPair, KNNJoinResult<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Expands the spatial nodes of the specified pair.

expectationOfMixture(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

The expectation value of the current mixture of distributions.

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

The association id to associate an external id to an object.

EXTERNAL_ID_INDEX_D - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Description for parameter classLabelIndex.

EXTERNAL_ID_INDEX_P - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Option string for parameter externalIDIndex.

externalIDIndex - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

The index of the external id label, null if no external id label is specified.

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

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

Retuns 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.Distance

Retuns 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.DoubleDistance

Retuns 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.FloatDistance

Retuns 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.IntegerDistance

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

Retuns 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.SubspaceDistance

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

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

Provides an id referencing an external data object.

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

Creates a new ExternalObject with the specified id.

extractClusters(Database<V>, DiSHDistanceFunction<V, DiSHPreprocessor<V, ?>>, ClusterOrder<V, PreferenceVectorBasedCorrelationDistance>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Extracts the clusters from the cluster order.

extractCorrelationClusters(Database<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.

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.