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 _

N

n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition

Row and column dimension (square matrix).

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

Row and column dimension (square matrix).

n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Row and column dimensions, and pivot sign.

n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Row and column dimensions.

n - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Row and column dimensions.

n - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.FirstNEigenPairFilter

The threshold for strong eigenvectors: n eigenvectors with the n highest eigenvalues are marked as strong eigenvectors.

N_D - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.FirstNEigenPairFilter

Description for parameter alpha.

N_P - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.FirstNEigenPairFilter

Option string for parameter n.

name - Variable in class de.lmu.ifi.dbs.elki.utilities.ConstantObject

Holds the value of the property's name.

name - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AttributeSetting

The name of the attribute.

name - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Option

The option name.

needsValue - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DefaultValueGlobalConstraint

Parameter to be set.

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

Returns the inverse of the bit vector.

negativeVector() - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

negativeVector() - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns the additive inverse to this FeatureVector.

negativeVector() - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

negativeVector() - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

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

The association id to associate the neighbors of an object.

NEIGHBORS_2 - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

The association id to associate another set of neighbors of an object.

newInstance(Bit[]) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

newInstance(double[]) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

newInstance(N[]) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a new FeatureVector of T for the given values.

newInstance(double[]) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

newInstance(N[]) - Method in class de.lmu.ifi.dbs.elki.data.NumberVector

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

newInstance(double[]) - Method in class de.lmu.ifi.dbs.elki.data.RealVector

Returns a new RealVector of N for the given values.

newInstance(double[]) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.KDDTask

The newline string according to system.

NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.utilities.Description

Newline String according to the system.

NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

The newline-String dependent on the system.

NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.utilities.output.PrettyPrinter

The newline-String dependent on the system.

newNode - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.SplitResult

next - Variable in class de.lmu.ifi.dbs.elki.utilities.Queue.QueueElement

Points to the next element in the queue, null if end of queue is reached.

nextElement() - Method in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration

Returns the next element of this enumeration if this enumeration object has at least one more element to provide.

nextElement() - Method in class de.lmu.ifi.dbs.elki.utilities.BreadthFirstEnumeration

Returns the next element of this enumeration if this enumeration object has at least one more element to provide.

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

The last page ID.

NF - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Number format for output of solution.

nf - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoisePlusCorrelationAnalysis

Number format for output accuracy.

nf - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution

Number format for output accuracy.

NF2 - Static variable in class de.lmu.ifi.dbs.elki.utilities.output.Format

Number Formatter for output purposes.

NF4 - Static variable in class de.lmu.ifi.dbs.elki.utilities.output.Format

NF8 - Static variable in class de.lmu.ifi.dbs.elki.utilities.output.Format

NO_NORMALIZATION - Static variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Keyword for no normalization.

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

The treeNode currently worked at.

Node<N extends Node<N,E>,E extends Entry> - Interface in de.lmu.ifi.dbs.elki.index.tree

This interface defines the common requirements of nodes in an index structure.

nodeBefore(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Returns the deap before the specified deap.

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

Holds a set of noise.

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

Holds a set of noise.

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

Holds a set of noise.

noise() - Method in interface de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusteringResult

Returns a database containing only noise objects.

noise() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

noise() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

noise - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

A partitionID that contains per definition noise - may remain null.

noise() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

NOISE_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.CASHResult

Marker for a file name of noise.

NOISE_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClustersPlusNoise

Marker for a file name of noise.

noiseDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the dimensionality for noise.

noiseDimensionality - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

The dimensionality of noise.

NOLOG_D - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Description for parameter nolog.

NOLOG_F - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree

Flag nolog.

NOMINAL - Static variable in interface de.lmu.ifi.dbs.elki.converter.WekaAttribute

Key word for a nominal attribute.

NOMINAL_INDEX - Static variable in class de.lmu.ifi.dbs.elki.converter.WekaAbstractAttribute

The index of the type NOMINAL in TYPES.

NonFlatRStarTree<O extends NumberVector<O,?>,N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

Abstract superclass for all non-flat R*-Tree variants.

NonFlatRStarTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree

Creates a new RTree.

NonNumericFeaturesException - Exception in de.lmu.ifi.dbs.elki.normalization

An exception to signal the encounter of non numeric features where numeric features have been expected.

NonNumericFeaturesException() - Constructor for exception de.lmu.ifi.dbs.elki.normalization.NonNumericFeaturesException

An exception to signal the encounter of non numeric features where numeric features have been expected.

NonNumericFeaturesException(String) - Constructor for exception de.lmu.ifi.dbs.elki.normalization.NonNumericFeaturesException

An exception to signal the encounter of non numeric features where numeric features have been expected.

NonNumericFeaturesException(Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.normalization.NonNumericFeaturesException

An exception to signal the encounter of non numeric features where numeric features have been expected.

NonNumericFeaturesException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.normalization.NonNumericFeaturesException

An exception to signal the encounter of non numeric features where numeric features have been expected.

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

Method for trivial pivot search, searches for non-zero entry.

NoParameterValueException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling

Thrown by OptionHandler in case of incorrect parameter-array.

NoParameterValueException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.NoParameterValueException

Thrown by OptionHandler in case of incorrect parameter-array.

NoParameterValueException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.NoParameterValueException

Thrown by OptionHandler in case of incorrect parameter-array.

norm1() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

One norm

norm2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Two norm

norm2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Two norm

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

A normalization - per default no normalization is used.

Normalization<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.normalization

Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.

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

OptionID for KDDTask.NORMALIZATION_PARAM

NORMALIZATION_D - Static variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Description of parameter parser.

NORMALIZATION_P - Static variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Label for parameter normalizations.

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

Optional Parameter to specify a normalization in order to use a database with normalized values.

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

OptionID for KDDTask.NORMALIZATION_PARAM

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

Flag to revert result to original values - invalid option if no normalization has been performed..

normalizations - Variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

The normalizations for each representation.

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

Whether to undo normalization for result.

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

Normalizes the RationalNumber by normalizing the signum and canceling both, numerator and denominator, by the greatest common divisor.

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

Normalizes this vector to the length of 1.0.

normalize(List<V>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

normalize(List<O>) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization

normalize(List<MultiRepresentedObject<O>>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

normalize(List<O>) - Method in interface de.lmu.ifi.dbs.elki.normalization.Normalization

Performs a normalization on a set of feature vectors.

normalizeAndTransformLabels(List<ObjectAndLabels<O>>, Normalization<O>) - Method in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection

Normalizes and transforms the specified list of objects and their labels into a list of objects and their associtaions.

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

Normalizes the columns of this matrix to length of 1.0.

normalizeEigenPair(EigenPair) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.NormalizingEigenPairFilter

Normalizes an eingenpair consisting of eigenvector v and eigenvalue e s.t.

normalizeObjects(List<ObjectAndAssociations<V>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

normalizeObjects(List<ObjectAndAssociations<O>>) - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization

normalizeObjects(List<ObjectAndAssociations<MultiRepresentedObject<O>>>) - Method in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Performs a normalization on a list of database objects and their associations.

normalizeObjects(List<ObjectAndAssociations<O>>) - Method in interface de.lmu.ifi.dbs.elki.normalization.Normalization

Performs a normalization on a list of database objects and their associations.

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

Normalizes the signum such that if the RationalNumber is negative, the numerator will be negative, the denominator positive.

NormalizingEigenPairFilter - Class in de.lmu.ifi.dbs.elki.varianceanalysis

The NormalizingEigenPairFilter normalizes all eigenvectors s.t.

NormalizingEigenPairFilter() - Constructor for class de.lmu.ifi.dbs.elki.varianceanalysis.NormalizingEigenPairFilter

Provides a new EigenPairFilter that normalizes all eigenvectors s.t.

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

Frobenius norm

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

Infinity norm

NOT_SET - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Flag

Constant indicating that the flag is not set.

NotEqualValueGlobalConstraint<N extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Global parameter constraint specifying that parameters of a list of number parameters (NumberParameter) are not allowed to have the same value.

NotEqualValueGlobalConstraint(List<NumberParameter<N>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NotEqualValueGlobalConstraint

Constructs a Not-Equal-Value global parameter constraint.

NULL_INDEX - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Indicates the index null.

NULL_INDEX - Static variable in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Indicates the index null.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDoubleDistanceFunction

A null DoubleDistance is based on 0.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractFloatDistanceFunction

A null FloatDistance is based on 0.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FractalDimensionBasedDistanceFunction

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

Provides a null distance.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

Provides a null distance.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction

nullDistance() - Method in interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

Provides a null distance.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIntegerSimilarityFunction

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractDoubleKernelFunction

A null DoubleDistance is based on 0.

nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

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

Returns a bit vector of equal dimensionality but containing 0 only.

nullVector() - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

nullVector() - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Provides a null vector of the same Feature Vector Space as this FeatureVector (that is, of the same dimensionality).

nullVector() - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

nullVector() - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

NUMBER_OF_NEIGHBORS_PARAM - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor

Parameter to indicate the number of neighbors to be taken into account for the shared-nearest-neighbor similarity.

NUMBER_OF_SUPPORTERS_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FracClusPreprocessor

NUMBER_OF_SUPPORTERS_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FracClusPreprocessor

numberCandidates - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.RkNNStatistic

The number of candidates.

NumberDistance<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance

Provides a Distance for a number-valued distance.

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

NumberDistanceParser<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.parser

Provides a parser for parsing one distance value per line.

NumberDistanceParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

Provides a parser for parsing one double distance per line.

numberFormat - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.AprioriResult

Number Format for output purposes.

numberOfFeatureVectors() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Returns the number of feature vectors this unit contains.

numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor

Holds the number of nearest neighbors to be used.

NumberParameter<T extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Abstract class for defining a number parameter.

NumberParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.NumberParameter

Constructs a number parameter with the given optionID.

NumberParameter(String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.NumberParameter

Deprecated.

numberResults - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.RkNNStatistic

The number of overall result;

numberTrueHits - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.RkNNStatistic

The number of true hits.

NumberVector<V extends NumberVector<V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.data

NumberVector is an abstract implementation of FeatureVector.

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

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

Returns the number of children.

numChildren() - Method in interface de.lmu.ifi.dbs.elki.utilities.Enumeratable

Returns the number of children.

numClusters() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap

Returns the number of clusters (excl. noise) in this map.

numDeaps - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The actual number of Deaps in this heap.

numElements - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The number of elements in this heap.

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

The number of entries in this node.

numerator - Variable in class de.lmu.ifi.dbs.elki.data.RationalNumber

Holding the numerator of the RationalNumber.

NUMERIC - Static variable in interface de.lmu.ifi.dbs.elki.converter.WekaAttribute

Key word for a numeric attribute.

NUMERIC_INDEX - Static variable in class de.lmu.ifi.dbs.elki.converter.WekaAbstractAttribute

The index of the type NUMERIC in TYPES.

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

The number of nodes of the DeLiCluTree.

numNodes() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Determines and returns the number of nodes in this index.

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

Returns the number of objects associated with this interval

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

Returns the number of parents.