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.pca.FirstNEigenPairFilter

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

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_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter

Parameter n.

name - Variable in class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Cluster name.

name - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Cluster name

name - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic

Cluster name

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.visualization.css.CSSClass

CSS class name

namecount - Variable in class de.lmu.ifi.dbs.elki.data.cluster.naming.SimpleEnumeratingScheme

count how often each name occurred so far.

names - Variable in class de.lmu.ifi.dbs.elki.data.cluster.naming.SimpleEnumeratingScheme

Assigned cluster names.

NamingScheme - Interface in de.lmu.ifi.dbs.elki.data.cluster.naming

Naming scheme implementation for clusterings.

ne - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.JarClassIterator

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

Parameter to be set.

needToInferCaller - Variable in class de.lmu.ifi.dbs.elki.logging.ElkiLogRecord

Flag whether we still need to infer the caller.

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 of V.

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

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

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

The association id to associate the neighbors of an object.

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Generate a new array of initialized DoubleMinMax objects (with default constructor)

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Create and initialize a new array of MeanVariance

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.CPair

Array constructor for generics

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.CTriple

Array constructor for generics

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.FCPair

Array constructor for generics

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair

Create a new array of the given size (for generics)

newArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.Triple

Array constructor for generics

newArrayOfEmptyArrayList(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Create an array of len empty ArrayLists.

newArrayOfEmptyHashSet(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Create an array of len empty HashSets.

newArrayOfNull(int, Class<T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Create an array (of null values) This is a common unchecked cast we have to do due to Java Generics limitations.

newe - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer

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

Creates and returns a new BitVector based on the passed values.

newInstance(List<Bit>) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

Creates and returns a new BitVector based on the passed values.

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

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

newInstance(List<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 V for the given values.

newInstance(List<N>) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a new FeatureVector of V for the given values.

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

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

newInstance(List<Float>) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

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.SparseFloatVector

newInstance(List<Float>) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector

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

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

The newline string according to system.

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

Newline string.

NEWLINE - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

System newline character(s)

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.FormatUtil

The system newline setting.

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

The newline-String dependent on the system.

NEWLINEC - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Newline as char array.

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

newStream(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Open a new stream of the given name

next() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator

Return next pair.

next() - Method in interface de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGeneratorInterface

Return next pair, advance generator

next() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter

next() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter

next() - Method in class de.lmu.ifi.dbs.elki.math.Histogram.Iter

next() - Method in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations

Advance the iterator, returning the 'next' result

next() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator

next() - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.JarClassIterator

next - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator

Store the next node

next() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator

Return next and advance iterator.

next() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator

Return next and advance iterator.

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.

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.data.model.CorrelationAnalysisSolution

Number format for output accuracy.

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

Number Formatter (2 digits) for output purposes.

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

Number Formatter (4 digits) for output purposes.

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

Number Formatter (8 digits) for output purposes.

nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

Holds the value of LOCI.NMIN_PARAM.

NMIN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

OptionID for LOCI.NMIN_PARAM

NMIN_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI

Parameter to specify the minimum neighborhood size Key: -loci.nmin Default: 20

NO_CLASS_RESTRICTION - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

NO_DEFAULT_VALUE - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

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.

nodelist - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator

The NodeList to iterate over.

NodeReplacer - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

This helper class will replace a node in an SVG plot, as soon as the tree is unlocked by the rendering engine.

NodeReplacer(Element, SVGPlot, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer

Setup a SVG node replacement.

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 - Variable in class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Noise?

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

Holds the dimensionality for noise.

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

OptionID for MkAppTree.NOLOG_PARAM

NOLOG_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Parameter for nolog

NONBREAKING_SPACE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.ClassParameter

Non-breaking unicode space character.

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

NormalDistribution - Class in de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution

Simple generator for a Gaussian = Normal Distribution

NormalDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution

Constructor for Gaussian generator

normalization - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer

A normalization - per default no normalization is used.

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 - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter

Normalization to use.

normalization - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter

Normalization to use.

normalization - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStreamNormalizing

Normalization function

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

OptionID for KDDTask.NORMALIZATION_PARAM

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

Option ID for normalizations

NORMALIZATION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer

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

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

Normalization class parameter

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.

normalizationRestore(O) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Restore a vector undoing any normalization that was applied.

normalizationRestore(O) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStreamNormalizing

De-Normalize output.

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.AttributeWiseMinMaxNormalization

normalize(int, double) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

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

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<Pair<O, List<String>>>, 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 associations.

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

Normalizes the columns of this matrix to length of 1.0.

NormalizedSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction

Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].

normalizeEigenPair(EigenPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter

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

normalizeObjects(List<Pair<V, Associations>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

normalizeObjects(List<Pair<V, Associations>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

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

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

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

normalizeObjects(List<Pair<O, Associations>>) - 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.

normalizeValue(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Return the normalized value (centered at the mean, distance normalized by standard deviation)

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

The NormalizingEigenPairFilter normalizes all eigenvectors s.t.

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

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

Null Algorithm, which does nothing.

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

Empty constructor.

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.correlation.AbstractPreferenceVectorBasedCorrelationDistanceFunction

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

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

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.subspace.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.FractionalSharedNearestNeighborSimilarityFunction

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

nullpostfix - Static variable in class de.lmu.ifi.dbs.elki.data.cluster.naming.SimpleEnumeratingScheme

This is the postfix added to the first cluster, which will be removed when there is only one cluster of this name.

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 of V (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.SparseFloatVector

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

OptionID for SharedNearestNeighborsPreprocessor.NUMBER_OF_NEIGHBORS_PARAM

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_SELECTED_ATTRIBUTES_ID - Static variable in class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser

ID for the parameter RandomProjectionParser.NUMBER_SELECTED_ATTRIBUTES_PARAM.

NUMBER_SELECTED_ATTRIBUTES_PARAM - Variable in class de.lmu.ifi.dbs.elki.parser.meta.RandomProjectionParser

Parameter for the desired cardinality of the subset of attributes selected for projection.

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

Provides a Distance for a number-valued distance.

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

Constructs a new NumberDistance object that represents the value argument.

NumberDistanceParser<D extends NumberDistance<D,N>,N extends Number> - 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.

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.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction

Holds the number of nearest neighbors to be used.

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(OptionID, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.NumberParameter

Constructs a number parameter with the given optionID, and constraint.

NumberParameter(OptionID, List<ParameterConstraint<Number>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.NumberParameter

Constructs a number parameter with the given optionID, and constraint.

NumberParameter(OptionID, ParameterConstraint<Number>, boolean, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.NumberParameter

Constructs a number parameter with the given optionID, constraint, and optional flag.

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

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

Number of bins to use in sampling.

numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality

Number of bins to use.

numChildren() - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Delegate to hierarchy object

numChildren(C) - Method in interface de.lmu.ifi.dbs.elki.data.cluster.HierarchyImplementation

Get number of children

numChildren() - Method in interface de.lmu.ifi.dbs.elki.data.cluster.HierarchyInterface

Get number of children

numChildren(C) - Method in class de.lmu.ifi.dbs.elki.data.cluster.SimpleHierarchy

Return number of children.

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.

numfit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Number of parameters to fit

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

numparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Number of parameters

numParents() - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Delegate to hierarchy object

numParents(C) - Method in interface de.lmu.ifi.dbs.elki.data.cluster.HierarchyImplementation

Get number of parents

numParents() - Method in interface de.lmu.ifi.dbs.elki.data.cluster.HierarchyInterface

Get number of parents

numParents(C) - Method in class de.lmu.ifi.dbs.elki.data.cluster.SimpleHierarchy

Return number of parents

numrecs - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Number of records in the file.