Constant for the generic type {@code List
NEIGHBORHOOD_FILE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood
Parameter to specify the neighborhood file
NEIGHBORHOOD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
Parameter to specify the neighborhood predicate to use.
NEIGHBORHOOD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer
Parameter to specify the neighborhood predicate to use.
NEIGHBORHOOD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer
Parameter to specify the neighborhood predicate to use.
neighborhoodDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
Neighborhood distance function.
neighborhoodDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF.Parameterizer
Neighborhood distance function.
neighborhoodDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.OnlineLOF.Parameterizer
Neighborhood distance function.
NEIGHBORHOODPRED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer
Parameter for neighborhood predicate
NEIGHBORLIST - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
A list of neighbors
NeighborPredicate - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Get the neighbors of an object
Note the Factory/Instance split of this interface.
NeighborPredicate.Instance<T> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Instance for a particular data set.
NeighborSetPredicate - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
Predicate to obtain the neighbors of a reference object as set.
NeighborSetPredicate.Factory<O> - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
Factory interface to produce instances.
newArray() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make a new (modifiable) array of DBIDs.
newArray(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make a new (modifiable) array of DBIDs.
newArray(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make a new (modifiable) array of DBIDs.
newArray() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a new (modifiable) array of DBIDs.
newArray(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a new (modifiable) array of DBIDs.
newArray(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a new (modifiable) array of DBIDs.
newArray() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
newArray(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
newArray(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
newArray() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
newArray(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
newArray(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
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.Mean
Create and initialize a new array of MeanVariance
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.MeanVarianceMinMax
Create and initialize a new array of MeanVarianceMinMax
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.
newContext(HierarchicalResult) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
Make a new visualization context
newe - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
newFeatureVector(A, ArrayAdapter<Bit, A>) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
newFeatureVector(A, ArrayAdapter<D, A>) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a new FeatureVector of V for the given values.
newFeatureVector(A, ArrayAdapter<Float, A>) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
newFeatureVector(A, ArrayAdapter<Integer, A>) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction
newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
newFeatureVector(A, ArrayAdapter<Float, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
newFeatureVector(A, ArrayAdapter<Double, A>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
newHashSet() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make a new (modifiable) hash set of DBIDs.
newHashSet(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make a new (modifiable) hash set of DBIDs.
newHashSet(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Make a new (modifiable) hash set of DBIDs.
newHashSet() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a new (modifiable) hash set of DBIDs.
newHashSet(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a new (modifiable) hash set of DBIDs.
newHashSet(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a new (modifiable) hash set of DBIDs.
newHashSet() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
newHashSet(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
newHashSet(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
newHashSet() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
newHashSet(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
newHashSet(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
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
newNumberVector(double[]) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
newNumberVector(double[]) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
newNumberVector(double[]) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns a new NumberVector of N for the given values.
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Instantiate from any number-array like object.
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
newNumberVector(double[]) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
newNumberVector(TIntDoubleMap, int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
newNumberVector(TIntDoubleMap, int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Returns a new NumberVector of N for the given values.
newNumberVector(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
newNumberVector(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
newPair(DBIDRef, DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Make a DBID pair.
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.algorithm.clustering.OPTICSXi.SteepScanPosition
Advance to the next entry
next() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvItr
next() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.Itr
next() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs.Itr
next() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
next() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
next - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
Keep track of the smallest dynamic DBID offset not used
next() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveIteratorAdapter
next() - Method in class de.lmu.ifi.dbs.elki.database.query.knn.KNNUtil.DBIDIterator
next() - Method in class de.lmu.ifi.dbs.elki.database.query.knn.KNNUtil.DistanceItr
next() - Method in class de.lmu.ifi.dbs.elki.database.query.knn.KNNUtil.KNNSubList.Itr
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.OutlierScoreAdapter
next() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.SimpleAdapter
next() - Method in class de.lmu.ifi.dbs.elki.math.histograms.ReplacingHistogram.Iter
next() - Method in class de.lmu.ifi.dbs.elki.math.histograms.ReplacingHistogram.RIter
next() - Method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap.Itr
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList.Itr
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList.ItrAnc
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList.ItrDesc
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists.ItrAnc
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists.ItrDesc
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.MaskedArrayList.InvItr
next() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.MaskedArrayList.Itr
next() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
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.iterator.AbstractFilteredIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.EmptyIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.MergedIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.OneItemIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.ReverseListIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableIterator
next() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableListIterator
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.
next - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
next() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
nextAllOnesInt(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Find the next larger number with all ones.
nextAllOnesLong(long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Find the next larger number with all ones.
nextclass - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
Next class to return
nextClearBit(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the next clear bit.
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.
nextEvent() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource
Get the next event
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter
nextevent - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Event to report next
nextEvent() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
nextIndex() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.ReverseListIterator
nextIndex() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableListIterator
nextobj - Variable in class de.lmu.ifi.dbs.elki.utilities.iterator.AbstractFilteredIterator
The next object to return.
nextPageID - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile
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".
nextPow2Int(int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Find the next power of 2.
nextPow2Long(long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Find the next power of 2.
nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution
nextRandom() - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.DistributionWithRandom
Generate a new random value
nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
nextRandom(double, double, Random) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
Generate a random value with the generators parameters.
nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
nextRandom() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
nextSetBit(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the next set bit.
nextToken(StreamTokenizer) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Helper function for token handling.
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 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Dynamic number formatter, but with language constraint.
nf - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Factory
Number formatter used for visualization
nf - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
Number format.
NF0 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Number Formatter (0 digits) for output purposes.
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.
NF6 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Number Formatter (6 digits) for output purposes.
NF8 - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Number Formatter (8 digits) for output purposes.
nmea - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
Temporary storage, to avoid reallocations
nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.ALOCIQuadTree
Maximum fill for a page before splitting
nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI
Minimum size for a leaf.
nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Parameterizer
Neighborhood minimum size
nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
nmin - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI.Parameterizer
NMIN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Parameterizer
Parameter to specify the minimum neighborhood size
NMIN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
Parameter to specify the minimum neighborhood size
nn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilFeature
Heap with the nearest known neighbors
nn_keys - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilFeature
Set representation of the nearest neighbors for faster lookups
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
NO_EXPORT_ATTRIBUTE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Attribute to block export of element.
NO_PROJECTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
Constant to not listen for projection changes
NO_VALUE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
Constant for "not in heap"
NO_VALUE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
Key not found value.
NoAutomaticEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation
No-operation evaluator, that only serves the purpose of explicitely disabling
the default value of
AutomaticEvaluation, if you do not want
evaluation to run.
Parameterization class
NoAutomaticEvaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation.Parameterizer
nocenter - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
nocenter - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer
NOCENTER_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints
Parameter to specify the grid resolution.
Node<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.
NodeArrayAdapter - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util
Access the entries of a node as array-like.
NodeArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.NodeArrayAdapter
Constructor.
nodeID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate
Page id
nodeID - Variable in class de.lmu.ifi.dbs.elki.index.tree.query.GenericDistanceSearchCandidate
Page id
nodelist - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator
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.
nodeSplitter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
The split strategy
nodeSplitter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory
The strategy for splitting nodes
nodeSplitter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer
The strategy for splitting nodes
NoDuplicateValueGlobalConstraint - 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.
Constructs a Not-Equal-Value global parameter constraint.
NoDuplicateValueGlobalConstraint(Parameter<?, ?>...) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NoDuplicateValueGlobalConstraint
Constructs a Not-Equal-Value global parameter constraint.
nofill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Factory
Fill parameter.
nofill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Factory.Parameterizer
nofill - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
Fill parameter.
NOFILL_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Factory
Flag for half-transparent filling of selection cubes.
noIncrementalRedraw - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
Flag to disallow an incremental redraw
noise - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
Holds a set of noise.
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.SNNClustering
Holds a set of noise.
noise - Variable in class de.lmu.ifi.dbs.elki.data.Cluster
Noise?
noise1 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
Noise flags
noise2 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
Noise flags
NOISE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
Pattern to recognize noise clusters by.
NOISE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
Pattern to recognize noise clusters with
NOISE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
Parameter flag for special noise handling.
noiseDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Holds the dimensionality for noise.
noisepat - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer
noisepat - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering.Parameterizer
noisepattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering
noisepattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering
noiseSpecialHandling - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
Apply special handling to noise "clusters".
noiseSpecialHandling - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer
NOLOG_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory
Parameter for nolog
NoMissingValuesFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
A filter to remove entries that have missing values.
NoMissingValuesFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter
Constructor.
NoMissingValuesFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
NoMissingValuesFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter.Parameterizer
NON_SPATIAL_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier
Parameter to specify the non spatial distance function to use
NONBREAKING_SPACE - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Non-breaking unicode space character.
NonFlatRStarTree<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(PageFile<N>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
Constructor.
NonNumericFeaturesException - Exception in de.lmu.ifi.dbs.elki.datasource.filter.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.datasource.filter.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.datasource.filter.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.datasource.filter.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.datasource.filter.normalization.NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric
features have been expected.
nonSpatialDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier
The distance function to use
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.
NoOpFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
Dummy filter that doesn't do any filtering.
NoOpFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
Constructor.
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.
norm - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization
Norm to use
norm - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization.Parameterizer
Norm to use
norm(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceNorm
Norm<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Abstract interface for a mathematical norm.
norm(O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.Norm
Compute the norm of object obj.
norm(SparseNumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseLPNormDistanceFunction
norm(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
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
NORM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization.Parameterizer
Option ID for normalization norm
NORMAL - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
Source blending, using the source image only.
NormalDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Gaussian distribution aka normal distribution
NormalDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
Constructor for Gaussian distribution
NormalDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
Constructor for Gaussian distribution
Normalization<O> - Interface in de.lmu.ifi.dbs.elki.datasource.filter.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.
normalizationRestore(O) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Restore a vector undoing any normalization that was applied.
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(int, double) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization
normalize - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser
Normalize
normalize - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer
Normalization flag
normalize() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
Normalizes this vector to the length of 1.0.
normalize(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Normalizes v1 to the length of 1.0.
normalize - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Store flag to Normalize data before curve fitting.
normalize - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling.Parameterizer
NORMALIZE_FLAG - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer
Option ID for normalization
NORMALIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
Normalization flag.
normalizeColumns() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Normalizes the columns of this matrix to length of 1.0.
normalizeColumns(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Normalizes the columns of this matrix to length of 1.0.
NormalizedPrimitiveSimilarityFunction<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
Marker interface for similarity functions working on primitive objects, and
limited to the 0-1 value range.
NormalizedSimilarityFunction<O,D extends Distance<?>> - 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].
normalizedVariationOfInformation() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.Entropy
Get the normalized variation of information (normalized, 0 = equal)
NVI = 1 - NMI_Joint
Vinh, N.X. and Epps, J. and Bailey, J.
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.
normalizeEquals(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Normalizes v1 to the length of 1.0.
normalizeObjects(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractNormalization
normalizeObjects(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization
normalizeObjects(MultipleObjectsBundle) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.normalization.Normalization
Performs a normalization on a database object bundle.
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.
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
NoSupportedDataTypeException - Exception in de.lmu.ifi.dbs.elki.data.type
Exception thrown when no supported data type was found.
NoSupportedDataTypeException(TypeInformation, Collection<TypeInformation>) - Constructor for exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException
Constructor.
NoSupportedDataTypeException(String) - Constructor for exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException
Constructor with string message.
NOT_FROM_ONE_CLUSTER_PROBABILITY - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
Epsilon
NOT_SET - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag
Constant indicating that the flag is not set.
notifyObservers(T) - Method in class de.lmu.ifi.dbs.elki.utilities.designpattern.Observers
Notify the observers of the changed object.
nozeros - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
Ignore zero values
nozeros - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer
Ignore zero values
NOZEROS_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
Flag to use ignore zeros when computing the min and max.
npred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance
The neighborhood predicate
npred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN
The neighborhood predicate factory.
npred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer
Neighborhood predicate
npredf - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
Our predicate to obtain the neighbors
npredf - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer
The predicate to obtain the neighbors.
NullAlgorithm - Class in de.lmu.ifi.dbs.elki.algorithm
Null Algorithm, which does nothing.
NullAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.NullAlgorithm
Constructor.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Provides a null distance.
nullDistance() - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Provides a null distance.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
nullDistance() - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance
Provides a null distance.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
A null DoubleDistance is based on 0.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
A null FloatDistance is based on 0.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance
Provides a null distance.
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
nullDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance
nullIndividuum(int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.Individuum
Create a "null" individuum (full space).
nullpostfix - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme
This is the postfix added to the first cluster, which will be removed when
there is only one cluster of this name.
num - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging
Number of instances to use
num - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
Number of instances to use
NUM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer
Parameter to specify the number of instances to use in the ensemble.
NUM_PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
Numerical precision to use
NUM_PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
Numerical precision to use
NUMBER_OF_NEIGHBORS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Parameter to indicate the number of neighbors to be taken into account
for the shared-nearest-neighbor similarity.
NUMBER_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
A pattern catching most numbers that can be parsed using Double.parseDouble:
Some examples: 1 1.
NUMBER_SELECTED_ATTRIBUTES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractRandomFeatureSelectionFilter
Parameter for the desired cardinality of the subset of attributes selected
for projection.
NUMBER_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that require number vector fields.
NUMBER_VECTOR_VARIABLE_LENGTH - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Number vectors of variable length.
NumberArrayAdapter<N extends Number,A> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Adapter for arrays of numbers, to avoid boxing.
NumberDistance<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
Provides a Distance for a number-valued distance.
NumberDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance
Constructs a new NumberDistance object that represents the value argument.
NumberDistanceParser<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a parser for parsing one distance value per line.
NumberDistanceParser(Pattern, char, D) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser
Constructor.
NumberDistanceParser.Parameterizer<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
NumberDistanceParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser.Parameterizer
NUMBERLISTADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Static instance for lists of numbers
numberListAdapter(List<? extends T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Cast the static instance.
NumberListArrayAdapter<T extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Static adapter class to use a
List in an array of number
API.
Constructor.
numberOfFeatureVectors() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Returns the number of feature vectors this unit contains.
numberOfLeadingZeros(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the number of leading zeros.
numberOfLeadingZeros(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
numberOfLeadingZerosSigned(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the number of leading zeros.
numberOfLeadingZerosSigned(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Holds the number of nearest neighbors to be used.
numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer
Holds the number of nearest neighbors to be used.
numberOfNeighbors - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
Holds the number of nearest neighbors to be used.
numberOfTrailingZeros(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the number of trailing zeros.
numberOfTrailingZeros(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the number of trailing zeros.
numberOfTrailingZerosSigned(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the number of trailing zeros.
numberOfTrailingZerosSigned(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Find the number of trailing zeros.
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.
numberSharedLevels(long[], long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures
Number of levels shared
NumberVector<V extends NumberVector<? extends 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.
NUMBERVECTORADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Use a number vector in the array API.
numberVectorAdapter(NumberVector<?, N>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Get the static instance.
NumberVectorAdapter<N extends Number> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Adapter to use a feature vector as an array of features.
NumberVectorAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberVectorAdapter
Constructor.
NumberVectorDistanceFunction<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Base interface for the common case of distance functions defined on numerical vectors.
NumberVectorLabelParser<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.parser
Provides a parser for parsing one point per line, attributes separated by
whitespace.
NumberVectorLabelParser(V) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Constructor with defaults
NumberVectorLabelParser(Pattern, char, BitSet, V) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Constructor
NumberVectorLabelParser.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parameterization class.
NumberVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer
numbin - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
Number of bins to use in sampling.
numbin - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer
Number of bins to use in sampling.
numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
Number of bins to use.
numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality.Parameterizer
numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
Number of bins to use.
numbins - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer
numCandidates - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy
Number of candidates to consider
numCandidates - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer
The number of candidates to use
numChildren() - Method in class de.lmu.ifi.dbs.elki.data.Cluster
Delegate to hierarchy object
numChildren() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchical
Get number of children
numChildren(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Get number of children
numChildren(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList
numChildren(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists
numclusters - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
Number of Clusters for each clustering
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.
NumericalFeatureSelection<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data.projection
Projection class for number vectors.
NumericalFeatureSelection(BitSet, V) - Constructor for class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
Constructor.
numfit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Number of parameters to fit
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
Delegate to hierarchy object
numParents() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchical
Get number of parents
numParents(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Get number of (direct) parents
numParents(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList
numParents(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists
numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory
Number of partitions
numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer
Number of partitions
numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory
Number of partitions
numpart - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer
Number of partitions
numrecs - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Number of records in the file.
NUMSTYLES - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
Number of styles to use (lower reduces rendering complexity a bit)
nvar - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance
nVariance
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