Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures
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_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints
OptionID for RandomGeneratedReferencePoints.N_PARAM
N_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints
OptionID for RandomSampleReferencePoints.N_PARAM
N_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter
Parameter n.
N_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints
Parameter to specify the number of requested reference points.
N_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints
Parameter to specify the sample size.
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.visualization.colors.ListBasedColorLibrary
Color scheme name
name - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass
CSS class name
name - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
Style scheme name
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.Projection1DHistogramVisualizer
Name for this visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.BubbleVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusteringVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterOrderVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DataDotVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ReferencePointsVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeMBRVisualizer
A short name characterizing this Visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisualizer
Name for this visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualizer
Histogram visualizer name
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualizer
Name for this visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.OPTICSPlotVisualizer
Name for this visualizer.
NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualizer
Name for this visualizer.
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 class de.lmu.ifi.dbs.elki.data.FloatVector
 
negativeVector() - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns the additive inverse to this NumberVector of V.
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.math.MinMax
New array of MinMax objects for a given type.
newArray(Class<? extends T>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
Make a new array of the given class and size.
newArray(T[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
Clone an array of the given type.
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.SCPair
Array constructor 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(double[]) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
newInstance(Vector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
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(Vector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
 
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(D[]) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a new FeatureVector of V for the given values.
newInstance(List<D>) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a new FeatureVector of V for the given values.
newInstance(Vector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
 
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 interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns a new NumberVector of N for the given values.
newInstance(Vector) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns a new NumberVector of N for the given values.
newInstance(double[]) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction
 
newInstance(Vector) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
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
 
newInstance(T) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
Generic newInstance that tries to clone an object.
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.gui.minigui.MiniGUI
Newline used in output.
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.FormatUtil
The system newline setting.
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
 
newPairArray(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair
Create a new array of the given size (for generics)
newStream(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
Open a new stream of the given name
newValue - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AttributeModifier
The new value of the attribute.
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.ReplacingHistogram.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() - Method in class de.lmu.ifi.dbs.elki.utilities.IterableIteratorAdapter
 
next() - Method in class de.lmu.ifi.dbs.elki.utilities.referencepoints.FullDatabaseReferencePoints.DatabaseProxy.ProxyIterator
 
next() - Method in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList.InvItr
 
next() - Method in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList.Itr
 
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.
nextPosition(int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Helper that is similar to Math.min(a,b), except that negative values are considered "invalid".
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.
nf - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipVisualizer
Number formatter used for visualization
NF2 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Number Formatter (2 digits) for output purposes.
NF4 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Number Formatter (4 digits) for output purposes.
NF8 - Static variable in class de.lmu.ifi.dbs.elki.utilities.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
 
nocenter - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
Holds the value of StarBasedReferencePoints.NOCENTER_FLAG.
NOCENTER_FLAG - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
Parameter to specify the grid resolution.
NOCENTER_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
OptionID for StarBasedReferencePoints.NOCENTER_FLAG
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.
NodeAppendChild - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
Runnable wrapper for appending XML-Elements to existing Elements.
NodeAppendChild(Element, Element) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
Trivial constructor.
NodeAppendChild(Element, Element, SVGPlot, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
Full constructor.
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.
NodeReplaceChild - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
Runnable wrapper to replace all children of a given node.
NodeReplaceChild(Element, Element) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceChild
Trivial constructor.
NodeReplaceChild(Element, Element, SVGPlot, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceChild
Full constructor.
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_FLAG - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Parameter for nolog
NOLOG_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
OptionID for MkAppTree.NOLOG_FLAG
NONBREAKING_SPACE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
Constructor, adhering to Parameterizable
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.
NONSTATIC_CLASSPATH - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil
If we have a non-static classpath, we do more extensive scanning for user extensions.
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
NORMAL - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
Source blending, using the source image only.
normalCDF(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Cumulative probability density function (CDF) of a normal distribution.
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.
normalize - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Store flag to Normalize data before curve fitting.
NORMALIZE_FLAG - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Normalization flag.
NORMALIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Option to normalize data before fitting the gamma curve.
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.
normalizeScore(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta
 
normalizeScore(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta
 
normalizeScore(double) - Method in interface de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta
Return a normalized value of the outlier score.
normalizeScore(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore
 
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.
normalPDF(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Probability density function of the normal distribution.
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.parameters.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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm
Constructor, adhering to Parameterizable
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction
 
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance
 
nullDistance() - Method in interface de.lmu.ifi.dbs.elki.distance.Distance
Provides a null distance.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCACorrelationDistance
Provides a null distance.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance
A null DoubleDistance is based on 0.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance
A null FloatDistance is based on 0.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance
 
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.PreferenceVectorBasedCorrelationDistance
 
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance
 
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 class de.lmu.ifi.dbs.elki.data.FloatVector
 
nullVector() - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Provides a null vector of the same Vector Space as this NumberVector of V (that is, of the same dimensionality).
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 - 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() - 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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser
Constructor, adhering to Parameterizable
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.parameters
Abstract class for defining a number parameter.
NumberParameter(OptionID, List<ParameterConstraint<Number>>, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID, constraint, and optional flag.
NumberParameter(OptionID, List<ParameterConstraint<Number>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID, constraint, and optional flag.
NumberParameter(OptionID, List<ParameterConstraint<Number>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID, and constraint.
NumberParameter(OptionID, ParameterConstraint<Number>, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID, constraint, and optional flag.
NumberParameter(OptionID, ParameterConstraint<Number>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID, constraint, and optional flag.
NumberParameter(OptionID, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID, and constraint.
NumberParameter(OptionID, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID and default Value.
NumberParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID and optional flag.
NumberParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.NumberParameter
Constructs a number parameter with the given optionID.
NumberVector<V extends NumberVector<V,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.data
Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVectorLabelParser<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.parser
Provides a parser for parsing one point per line, attributes separated by whitespace.
NumberVectorLabelParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.NumberVectorLabelParser
Constructor, adhering to Parameterizable
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.

Release 0.3 (2010-03-31_1612)
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