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

I

i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy

i - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task

First offset.

iconcache - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Used for id assignment.

id - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature

Object ID

id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair

The DB id.

id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

The actual object ID.

id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

The actual value.

id - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

Object ID

id - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry

Holds the id of the object (node or data object) represented by this entry.

id - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry

Holds the id of the object (node or data object) represented by this entry.

id - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation

Object represented by this approximation

id - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage

The unique id if this page.

id - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild

The ID.

id - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceByID

ID of element to replace.

id - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy

Segment we are attached to

id1 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments

The id of the first routing object.

id2 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments

The id of the second routing object.

ID_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Parameter that specifies the object ID pattern Key: -externaloutlier.idpattern
Default: ^ID=

ID_PATTERN_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

The default pattern for matching ID lines.

identity(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Generate identity matrix

identity(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Generate identity matrix

IDENTITYADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Static instance.

identityAdapter(T) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Get the static instance.

IdentityArrayAdapter<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Single-item subset adapter Use the static instance from ArrayLikeUtil!

IdentityArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IdentityArrayAdapter

Constructor.

IdentityScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling

The trivial "identity" scaling function.

IdentityScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.IdentityScaling

idf - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

The IDF storage.

idim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS

Intrinsic dimensionality.

idim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer

Intrinsic dimensionality.

IDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer

Intrinsic dimensionality.

idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore

DBID to index map

idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore

DBID to index map

idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore

DBID to index map

idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore

DBID to index map

idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore

DBID to index map.

idmap - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix

Static mapping from DBIDs to indexes.

IDOS<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Intrinsic Dimensional Outlier Detection in High-Dimensional Data.

IDOS(DistanceFunction<? super O>, IntrinsicDimensionalityEstimator, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS

Constructor.

IDOS.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Parameterization class.

IDOS.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS.Parameterizer

idpattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

object id pattern

idpattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

object id pattern

idrep - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase

The DBID representation we use

idrep - Variable in class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Our DBID representation

idrep - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

The DBID representation we use

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Holds the ids of the objects associated with this interval.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Instance

DBIDs to process

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel

Neighbor ids.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance

DBIDs to process

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel

Neighbor ids.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter

IDs to process.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder

The DBIDs in this result.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult

The DBIDs in this result.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder

Cluster order.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

IDs to process.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance

IDs to process.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

IDs to process.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

The ids of the feature vectors this unit contains.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.ClusterCandidate

Objects contained in cluster.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature

Object ids.

ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.DistanceEntry

DBIDs compared.

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

Cluster data.

ids - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase

IDs of this database

ids - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

DBIDs

ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.DBIDView

The ids object

ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

The DBIDs this is supposed to be defined for.

ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

The DBIDs this is supposed to be defined for.

ids - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

IDs of this database

ids - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

DBIDs for these objects, but may be null.

ids - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap

ids - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix

The database IDs used

ids - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix

DBID range.

ids - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner

Array IDs to process

ids - Variable in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner

Array IDs to process

ids - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore

Database IDs

ids - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs

Object ID range.

ids - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs

Object ID range.

ids - Variable in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy

Object IDs

IDSTART_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer

Optional parameter to specify the first object ID to use.

idview - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView

The DBIDs we contain

IGNORE_CLASSES - Static variable in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

Classes to ignore when finding the relevant caller.

imadsigma - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

Stores the inverse median absolute deviation in each dimension.

images - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

The image cache.

img - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix

Our image

img - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance

The actual image

imgfile - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix

The file we have written the image to

IMGFILEPREFIX - Static variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix

Prefix for filenames

importInteger(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory

Import and integer as DBID.

importInteger(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Import and integer as DBID.

importInteger(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory

in - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection

The input stream to parse from.

in - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader

Input stream to read from

IN_TIES - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap

Constant for "in ties list", for tied heaps.

inCircle(Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Test whether a point is within the circumference circle.

includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK

Include query object in evaluation.

includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Include query object in evaluation.

includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance

Include query object in evaluation.

includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Include query object in evaluation.

INCLUDESELF_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Parameter to include the query object.

INCLUDESELF_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Parameter to include the query object.

increaseEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode

Increases the length of the entries array to entries.length + 1.

increaseSupport() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset

Increase the support of the itemset.

IncreasingVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter

Class to iterate over a number vector in decreasing order.

IncreasingVectorIter(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.IncreasingVectorIter

Constructor.

incRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractKNNQuery

Count extra refinements.

incRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery

Count extra refinements.

increment(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore

increment(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore

increment(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

increment(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

increment(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore

Increment the specified value with the specified id in this storage.

increment(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore

Increment a value.

increment() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter

increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter

increment() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter

Increment the counter.

increment(long) - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter

Increment the counter by i.

increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic

Increment counter.

increment() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter

increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter

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

Increments a single element.

increment(double, double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram

Increment histogram by a double[].

increment(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram

Put fresh data into the histogram (or into the cache)

increment(double, double) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram

Increment the histogram at a given position.

increment(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram

Increment the value of a bin.

increment(double, float) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram

Put fresh data into the histogram (or into the cache)

increment(double, float) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatHistogram

Increment the histogram at a given position.

increment(double, float) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram

Increment the value of a bin.

increment(double, int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram

Increment histogram by a double[].

increment(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram

Put fresh data into the histogram (or into the cache)

increment(double, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntHistogram

Increment the histogram at a given position.

increment(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram

Increment the value of a bin.

increment(double, long[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram

Increment histogram by a double[].

increment(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram

Put fresh data into the histogram (or into the cache)

increment(double, long) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongHistogram

Increment the histogram at a given position.

increment(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram

Increment the value of a bin.

increment(double, short) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram

Put fresh data into the histogram (or into the cache)

increment(double, short) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortHistogram

Increment the histogram at a given position.

increment(double, short) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram

Increment the value of a bin.

incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

Redraw the visualization (maybe incremental).

incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance

incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance

incrementalRedraw() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization

Request an update of the visualization.

incrementalUpdateMean(Vector, V, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Compute an incremental update for the mean.

incrementDiscarded() - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorInterfaceDynamic

Increment the number of elements discarded.

incrementDiscarded() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Increase number of discarded points

incrementIssuedQueries() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

incrementProcessed(AbstractProgress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Increment a progress (unless null).

incrementProcessed(Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress

Increment the processed counter.

incrementQueryTime(long) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

incrementRefinements() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

incrementScannedBytes(long) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

IndefiniteProgress - Class in de.lmu.ifi.dbs.elki.logging.progress

Progress class without a fixed destination value.

IndefiniteProgress(String, Logging) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress

Constructor with logging.

indent - Variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

Instantiated index.

index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS

Index.

index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS.Parameterizer

Random projection index.

index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition

Current position

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

Index.

index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance

Instantiated index.

index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor

Representation index.

index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor

Representation index.

index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor

Representation index.

index - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance

Index we use

index - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance

Parent index

index - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

The actual index.

Index - Interface in de.lmu.ifi.dbs.elki.index

Interface defining the minimum requirements for all index classes.

index - Variable in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex

Inverted index.

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

The index storing the nodes.

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

The index of this component in its parent.

index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexKNNQuery

The index to use

index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery

The index to use

index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery

The index to use

index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.DistanceEntry

The index of the entry in its parent's child array.

index(int, int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Indexing function for triangular matrix.

index(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

Index into the serialized array.

index - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap

Holds the indices in the heap of each element.

index - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs

Index, to map DBID to offset.

index - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Current positions of result and iterator.

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

Store the next node

INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization

Generic tag to indicate the type of element.

INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization

Generic tag to indicate the type of element.

INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization

Generic tag to indicate the type of element.

INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase.Parameterizer

Parameter to specify the indexes to use.

INDEX_ID - Static variable in interface de.lmu.ifi.dbs.elki.distance.distancefunction.IndexBasedDistanceFunction

OptionID for the index parameter

INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction

Parameter to specify the preprocessor to be used.

INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Option ID for the inner index to use.

IndexBasedDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction

Distance function relying on an index (such as preprocessed neighborhoods).

IndexBasedDistanceFunction.Instance<T,I extends Index> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction

Instance interface for Index based distance functions.

IndexBasedSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction

Interface for preprocessor/index based similarity functions.

IndexBasedSimilarityFunction.Instance<T,I extends Index> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction

Instance interface for index/preprocessor based distance functions.

indexDense(DBIDRef, V) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex

Index a single (dense) instance.

indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector

Indexes of values.

indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Indexes of values.

indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector

Indexes of values.

indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

Indexes of values.

indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseShortVector

Indexes of values.

indexFactories - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask

Indexes to add.

indexFactories - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer

Indexes to add.

indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

Index factories.

indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer

Indexes to add.

indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer

Indexes to add.

indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO

Factory to produce

indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer

Factory to produce

indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC

Factory to produce

indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer

Factory to produce the index.

indexFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction

Parameter to specify the preprocessor to be used.

indexFactory - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction

Parameter to specify the preprocessor to be used.

IndexFactory<V,I extends Index> - Interface in de.lmu.ifi.dbs.elki.index

Factory interface for indexes.

indexOfSegment(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Get the index of a selected segment.

IndexPurity - Class in de.lmu.ifi.dbs.elki.evaluation.index

Compute the purity of index pages as a naive measure for performance capabilities using the Gini index.

IndexPurity() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexPurity

Constructor.

indexSparse(DBIDRef, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex

Index a single (sparse) instance.

IndexStatistics - Class in de.lmu.ifi.dbs.elki.evaluation.index

Simple index analytics, which includes the toString() dump of index information.

IndexStatistics() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics

Constructor.

IndexStatistics.IndexMetaResult - Class in de.lmu.ifi.dbs.elki.evaluation.index

Result class.

IndexStatistics.IndexMetaResult(Collection<Pair<String, String>>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics.IndexMetaResult

Constructor.

indexToFileposition(long) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Compute file position from index number

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

Abstract super class for all tree based index classes.

IndexTree(PageFile<N>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Constructor.

IndexTreePath<E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree

Represents a path to a node in an index structure.

IndexTreePath(IndexTreePath<E>, E, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath

Constructs a new IndexPath.

indices - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset

Items, as indexes.

indirectSelections - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Segments indirectly selected

inferCaller() - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Infer which class has called the logging helper.

inferCallerELKI() - Method in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

Infer a caller, ignoring logging-related classes.

infile - Variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection

File to load.

infile - Variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer

File to load.

infile - Variable in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer

Input stream to process.

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

Length of pattern

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

Infinity pattern, with any capitalization

INFLO<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Influence Outliers using Symmetric Relationship (INFLO) using two-way search, is an outlier detection method based on LOF; but also using the reverse kNN.

INFLO(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO

Constructor with parameters.

INFLO.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Parameterization class.

INFLO.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO.Parameterizer

info(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'info' ('verbose') level.

info(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'info' ('verbose') level.

INFORMATION_CRITERION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Quality measure to use for evaluating splits.

informationCriterion - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Information criterion to choose the better split.

informationCriterion - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Information criterion.

init(BundleStreamSource) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

init(BundleStreamSource) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.StreamFilter

Connect to the previous stream.

INIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer

Parameter to specify the cluster center initialization.

INIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer

Parameter to specify the EM cluster models to use.

INIT_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans

Parameter to specify the initialization method

initDefaultVisibility(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

Init the default visibility of a task.

initHeap(ObjectHeap<IntegerPriorityObject<CASHInterval>>, Relation<ParameterizationFunction>, int, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Initializes the heap with the root intervals.

initHeaps(SpatialPrimitiveDistanceFunction<V>, N) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin

Initialize the heaps.

INITIAL_BUFFER - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter

Initial buffer size.

INITIAL_MEANS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer

Option to specify the initial means to use.

INITIAL_SIZE - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode

Initial size, after sizes 0 and 1.

INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

Initial size.

INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

Initial size allocation.

INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger

Initial size.

INITIAL_TIES_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

Initial size of ties array.

initialAssignToNearestCluster(Relation<V>, List<Vector>, List<Vector>, List<ModifiableDBIDs>, WritableIntegerDataStore, WritableDoubleDataStore, WritableDataStore<double[]>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan

Reassign objects, but only if their bounds indicate it is necessary to do so.

initialAssignToNearestCluster(Relation<V>, List<Vector>, List<Vector>, List<ModifiableDBIDs>, WritableIntegerDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly

Reassign objects, but only if their bounds indicate it is necessary to do so.

initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

Initialize for a new DBID.

initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance

initialization - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm

Similarity initialization

initialization - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer

Initialization function for the similarity matrix.

initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory

Initialization method.

initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer

Initialization method.

initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

Initialization method.

INITIALIZATION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer

Parameter for the similarity matrix initialization

initialize(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

Hilbert function to fill pf with shifted Hilbert values.

initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection

initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection

initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection

initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection

initialize(SimpleTypeInformation<IN>) - Method in interface de.lmu.ifi.dbs.elki.data.projection.Projection

Initialize

initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection

initialize() - Method in interface de.lmu.ifi.dbs.elki.database.Database

Initialize the database, for example by loading the input data.

initialize() - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase

Initialize the database by getting the initial data from the database connection.

initialize() - Method in class de.lmu.ifi.dbs.elki.database.ProxyDatabase

initialize() - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

Initialize the database by getting the initial data from the database connection.

initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout

initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation

initialize(MultipleObjectsBundle) - Method in interface de.lmu.ifi.dbs.elki.evaluation.classification.holdout.Holdout

Initialize the holdout procedure for a data set.

initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut

initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation

initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation

initialize() - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix

initialize() - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

initialize() - Method in interface de.lmu.ifi.dbs.elki.index.Index

Initialize the index.

initialize() - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor

initialize() - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Initialize the tree if the page file already existed.

initialize(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Initializes the index.

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree

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

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex

initialize() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile

initialize() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile

initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile

Initialize the page file with the given header - return "true" if the file already existed.

initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile

initialize(PageHeader) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile

Initialize the page file with the given header - return "true" if the file already existed.

initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

initialize() - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner

Perform a full (slow) scan for classes.

initialize(CharSequence, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Initialize parser with a new string.

initialize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

initialize(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Initialize the plot.

initializeBandwidth(double[][]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance

initializeCapacities(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Determines the maximum and minimum number of entries in a node.

initializeCapacities(MkAppEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Determines the maximum and minimum number of entries in a node.

initializeCapacities(MkCoPEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Determines the maximum and minimum number of entries in a node.

initializeCapacities(MkMaxEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

initializeCapacities(MkTabEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

initializeCapacities(MTreeEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

initializeCapacities(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

initializeCapacities(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

initialized - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

True if this index is already initialized.

initializeDataExtends(Relation<NumberVector>, int, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency

Initialize the uniform sampling area.

initializeDistanceMatrix(double[], DistanceQuery<O>, DBIDArrayIter, DBIDArrayIter, boolean) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES

Initialize a distance matrix.

initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Initializes this index from an existing persistent file.

initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Initializes this R*-Tree from an existing persistent file.

initializeFromFile(TreeIndexHeader, PageFile<FlatRStarTreeNode>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree

Initializes the flat RTree from an existing persistent file.

initializeLookupTable(double[][], NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VALPNormDistance

Initialize the lookup table.

initializeNNCache(double[], double[], int[]) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering

Initialize the NN cache.

initializeOutputType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorConversionFilter

Initialize factory from a data type.

initializeOutputType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter

Initialize factory from a data type.

initializeOutputType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

initializeOutputType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

initializePlot() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Initialize the SVG plot.

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory

Class to choose the initial means

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer

Initialization method

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer

Initialization method

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

Method to choose initial means.

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer

Initialization method.

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM

Method to choose initial means.

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM.Parameterizer

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM

Method to choose initial means.

initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer

Method to choose initial means.

initializeRadii(DBIDs, KNNQuery<O>, DistanceQuery<O>, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF

This method prepares a container for the radii of the objects and initializes radii according to the equation: initialRadii of a certain object = (absoluteMinDist of all objects) * (avgDist of the object) / (minAvgDist of all objects)

initializeRandomAttributes(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter

Initialize random attributes.

initializeSearchItemset(BitVector, int[], int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI

Initialize the scratch itemset.

initialMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans

Initial means to return.

initialMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer

Initial means.

initialPopulation(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Produce an initial (random) population.

initialSeeds(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Initializes the list of seeds wit a random sample of size k.

initialSet(DBIDs, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Returns a set of k elements from the specified sample set.

initialWeights(WritableDoubleDataStore, DBIDs, T, DistanceQuery<? super T>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.KMeansPlusPlusInitialMeans

Initialize the weight list.

initKnnDistanceList() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Returns a knn distance list with all distances set to null distance.

initLabelsAndModels(ArrayList<GeneratorInterface>, ClassLabel[], Model[], Pattern) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Initialize cluster labels and models.

initMinMaxArrays() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

Init the arrays we use.

initOneDimensionalUnits(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Initializes and returns the one dimensional units.

initRangeQueries(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

Initializes the dimension selecting distancefunctions to determine the preference vectors.

initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser

initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser

initStream(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.StreamingParser

Init the streaming parser for the given input stream.

inline - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Buffer for inline data to output.

inlineCSS() - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Render CSS class to inline formatting

inlineExternal(Document, ParsedURL, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages

Inline an external file (usually from temp).

inlinePrint(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Print data into the inline part of the file.

inlinePrintNoQuotes(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Print data into the inline part of the file WITHOUT checking for separators (and thus quoting).

inlineThumbnail(Document, ParsedURL, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages

Inline a referenced thumbnail.

InMemoryIDistanceIndex<O> - Class in de.lmu.ifi.dbs.elki.index.idistance

In-memory iDistance index, a metric indexing method using a reference point embedding.

InMemoryIDistanceIndex(Relation<O>, DistanceQuery<O>, KMedoidsInitialization<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

Constructor.

InMemoryIDistanceIndex.Factory<V> - Class in de.lmu.ifi.dbs.elki.index.idistance

Index factory for iDistance indexes.

InMemoryIDistanceIndex.Factory(DistanceFunction<? super V>, KMedoidsInitialization<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory

Constructor.

InMemoryIDistanceIndex.Factory.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.index.idistance

Parameterization class.

InMemoryIDistanceIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer

InMemoryIDistanceIndex.IDistanceKNNQuery - Class in de.lmu.ifi.dbs.elki.index.idistance

kNN query implementation.

InMemoryIDistanceIndex.IDistanceKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.IDistanceKNNQuery

Constructor.

InMemoryIDistanceIndex.IDistanceRangeQuery - Class in de.lmu.ifi.dbs.elki.index.idistance

Exact Range query implementation.

InMemoryIDistanceIndex.IDistanceRangeQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.IDistanceRangeQuery

Constructor.

InMemoryInvertedIndex<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist

Simple index using inverted lists.

InMemoryInvertedIndex(Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex

Constructor.

InMemoryInvertedIndex.ArcCosineKNNQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist

kNN query object, for arc cosine distance.

InMemoryInvertedIndex.ArcCosineKNNQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.ArcCosineKNNQuery

Constructor.

InMemoryInvertedIndex.ArcCosineRangeQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist

kNN query object, for cosine distance.

InMemoryInvertedIndex.ArcCosineRangeQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.ArcCosineRangeQuery

Constructor.

InMemoryInvertedIndex.CosineKNNQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist

kNN query object, for cosine distance.

InMemoryInvertedIndex.CosineKNNQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.CosineKNNQuery

Constructor.

InMemoryInvertedIndex.CosineRangeQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist

kNN query object, for cosine distance.

InMemoryInvertedIndex.CosineRangeQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.CosineRangeQuery

Constructor.

InMemoryInvertedIndex.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist

Index factory

InMemoryInvertedIndex.Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory

InMemoryInvertedIndex.Factory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist

Parameterizer for inverted list index.

InMemoryInvertedIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory.Parameterizer

InMemoryLSHIndex<V> - Class in de.lmu.ifi.dbs.elki.index.lsh

Locality Sensitive Hashing.

InMemoryLSHIndex(LocalitySensitiveHashFunctionFamily<? super V>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex

Constructor.

InMemoryLSHIndex.Instance - Class in de.lmu.ifi.dbs.elki.index.lsh

Instance of a LSH index for a single relation.

InMemoryLSHIndex.Instance(Relation<V>, ArrayList<? extends LocalitySensitiveHashFunction<? super V>>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance

Constructor.

InMemoryLSHIndex.Instance.LSHKNNQuery - Class in de.lmu.ifi.dbs.elki.index.lsh

Class for handling kNN queries against the LSH index.

InMemoryLSHIndex.Instance.LSHKNNQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance.LSHKNNQuery

Constructor.

InMemoryLSHIndex.Instance.LSHRangeQuery - Class in de.lmu.ifi.dbs.elki.index.lsh

Class for handling kNN queries against the LSH index.

InMemoryLSHIndex.Instance.LSHRangeQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance.LSHRangeQuery

Constructor.

InMemoryLSHIndex.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.index.lsh

Parameterization class.

InMemoryLSHIndex.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering

The algorithm to be wrapped and run.

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering.Parameterizer

Field to store the algorithm.

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory

Inner neighbor set predicate

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

Inner neighbor set predicate

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory

Inner neighbor set predicate

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer

Inner neighbor set predicate

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood

The data store to use

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory

The inner predicate factory

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer

The actual predicate.

inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter

Actual predicate

inner - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier

Inner class for generating uncertain instances.

inner - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Inner class for generating uncertain instances.

inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList

Wrapped inner result.

inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs

The DBIDs we wrap.

inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs

The DBIDs we wrap.

inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList

Wrapped inner result.

inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs

The DBIDs we wrap.

inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs

The DBIDs we wrap.

inner - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView

The wrapped representation where we get the IDs from.

inner - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView

The wrapped representation where we get the IDs from.

inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator

Class to perform the cluster extraction.

inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator.Parameterizer

Inner algorithm to extract a clustering.

inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator

Class to perform the cluster extraction.

inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Parameterizer

Inner algorithm to extract a clustering.

inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator

Class to perform the cluster extraction.

inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Parameterizer

Inner algorithm to extract a clustering.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer

Inner index factory.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer

Inner index factory.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

Inner index factory.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory

Inner index factory.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Inner index factory.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex

Inner index.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery

Inner kNN query.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRangeQuery

Inner range query.

inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery

Inner RkNN query.

inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator

Distribution estimator to use.

inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

Distribution estimator to use.

inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator

Distribution estimator to use.

inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer

Distribution estimator to use.

inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter

Adapter class.

inner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization

The parameterization we get the new values from.

inner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

Inner parameterization

INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer

The parameter to give the non-weighted neighborhood to use.

INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Class to use for generating the uncertain instances.

INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

Option for the class to use on the trimmed sample.

INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer

Option for the class to use on the winsorized sample.

INNER_KMEANS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Parameter to specify the kMeans variant.

innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans

Variant of kMeans for the bisecting step.

innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization

Variant of kMeans to use for initialization.

innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization.Parameterizer

Inner k-means algorithm to use.

innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting

Variant of kMeans for the bisecting step.

innerKMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Inner k-means algorithm.

innerKMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Variant of kMeans

innerScan(HilOut<O>.HilbertFeatures, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut

innerScan function calculates new upper and lower bounds and inserts the points of the neighborhood the bounds are based on in the NN Set

input - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor

KNN query object

input - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor.Instance

kNN query

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer

Data source to process.

input - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication

The data input step.

input - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer

The data input step.

input - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader

Input channel.

input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel

Input step to run on.

input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel

Input step to run on.

input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel

The data input configured

input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel

Input step to run on.

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor

Input channel

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance

Input channel instance

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor

KNN query object

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor.Instance

kNN query

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor

Input variable

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor.Instance

Variable to exchange data over

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor

Shared double variable

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance

Shared double variable

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor

Shared int variable

input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance

Shared int variable

input - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Data currently processed.

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

Parameter that specifies the name of the input file.

INPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer

Parameter that specifies the name of the input file to be parsed.

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Input step

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Data source

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores

The data input part.

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer

Data source.

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

The data input part.

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

Data source.

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix

The data input part.

inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer

Data source.

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

The data input step

inputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

InputStep - Class in de.lmu.ifi.dbs.elki.workflow

Data input step of the workflow.

InputStep(Database) - Constructor for class de.lmu.ifi.dbs.elki.workflow.InputStep

Constructor.

InputStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow

Parameterization class.

InputStep.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer

InputStreamDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource

Database connection expecting input from an input stream such as stdin.

InputStreamDatabaseConnection(List<ObjectFilter>, Parser) - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection

Constructor.

InputStreamDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource

Parameterization class.

InputStreamDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer

inputTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

Input panel.

InputTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels

Panel to handle data input.

InputTabPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel

insert(FPGrowth.FPTree, int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode

Insert an itemset into the tree.

insert(int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree

Insert an itemset into the tree.

insert(DBID, double, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature

insert function inserts a nearest neighbor into a features nn list and its distance

insert(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase

insert(int, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Insert at position i (starting at 0, moving the remainder by one position).

insert(int, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap

insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap

insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

insert(double, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap

Add a distance-id pair to the heap unless the distance is too large.

insert(DoubleDBIDPair) - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap

Add a distance-id pair to the heap unless the distance is too large.

insert(DBIDRef, Double) - Method in interface de.lmu.ifi.dbs.elki.database.relation.DoubleRelation

Deprecated.

use DoubleRelation.set(DBIDRef, double) instead.

insert(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

Deprecated.

insert(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

insert(DBIDRef, O) - Method in interface de.lmu.ifi.dbs.elki.database.relation.ModifiableRelation

Set (or insert) an object representation.

insert(ObjectBundle) - Method in interface de.lmu.ifi.dbs.elki.database.UpdatableDatabase

Inserts the given object(s) and their associations into the database.

insert(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex

Inserts the specified object into this index.

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

insert(E, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Inserts the specified object into this M-Tree.

insert(MkAppEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

insert(MkCoPEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

insert(MkTabEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex

Inserts the specified real vector object into this index.

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex

Inserts the specified real vector object into this index.

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Inserts the specified real vector object into this index.

insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex

Inserts the specified reel vector object into this index.

insert(int, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Insert a value at the given position.

insert(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Insert a value at the given position.

INSERT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer

Parameter to specify the insertion strategy to construct the tree.

insertAll(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex

Inserts the specified objects into this index.

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

insertAll(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Bulk insert.

insertAll(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified

insertAll(List<MkAppEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Inserts the specified objects into this MkApp-Tree.

insertAll(List<MkCoPEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex

Inserts the specified objects into this index.

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex

Inserts the specified objects into this index.

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Inserts the specified objects into this index.

insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex

Inserts the specified objects into this index.

insertDirectoryEntry(E, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Inserts the specified directory entry at the specified level into this R*-Tree.

insertHandler(Class<?>, H) - Method in class de.lmu.ifi.dbs.elki.utilities.HandlerList

Insert a handler to the beginning of the stack.

insertIntoGrid(DBIDRef, V, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance

Insert a single object into the grid; potentially into multiple cells (at most 2^d) via recursion.

INSERTION_CANDIDATES_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer

Fast-insertion parameter.

INSERTION_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

Fast-insertion parameter.

INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort

Threshold for using insertion sort.

INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Threshold for using insertion sort.

INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort

Threshold for using insertion sort.

insertionEvent(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent

Insertion event.

insertionSort(double, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap

Insertion sort a single object.

insertionSort(DoubleIntegerDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

Perform insertion sort.

insertionSort(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Sort via insertion sort.

insertionSort(int[], int, int, IntegerComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort

Insertion sort, for short arrays.

insertionSort(T, QuickSelect.Adapter<T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSort(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSort(T[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSort(List<T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSort(List<T>, Comparator<? super T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSort(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, DBIDArrayIter, DBIDArrayIter) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSort(ModifiableDoubleDBIDList, int, int, DoubleDBIDListIter, DoubleDBIDListIter) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Sort a small array using repetitive insertion sort.

insertionSortReverse(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Sort via insertion sort.

insertionStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

The insertion strategy to use.

InsertionStrategy - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert

RTree insertion strategy interface.

insertLeaf(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

insertLeaf(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndexTree

Add a new leaf entry to the tree.

insertLeafEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Inserts the specified leaf entry into this R*-Tree.

insertNewline() - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

inserts - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent

Insertions.

insertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSettings

Insertion strategy.

inspectClass(Class<?>, List<Pair<Reference, TreeSet<Object>>>, Map<Reference, TreeSet<Object>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences

inspectPackage(Package, List<Pair<Reference, TreeSet<Object>>>, Map<Reference, TreeSet<Object>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences

instance - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter

The instance to use.

InstanceLogRankNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Normalize vectors such that the smallest value of each instance is 0, the largest is 1, but using log_2(1+x).

InstanceLogRankNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization

Constructor.

InstanceLogRankNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceLogRankNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization.Parameterizer

InstanceMeanVarianceNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Normalize vectors such that they have zero mean and unit variance.

InstanceMeanVarianceNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

Constructor.

InstanceMeanVarianceNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceMeanVarianceNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization.Parameterizer

InstanceMinMaxNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Normalize vectors such that the smallest attribute is 0, the largest is 1.

InstanceMinMaxNormalization(double, double) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Constructor.

InstanceMinMaxNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Constructor, normalizing to [0;1]

InstanceMinMaxNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceMinMaxNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer

InstanceRankNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Normalize vectors such that the smallest value of each instance is 0, the largest is 1.

InstanceRankNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization

Constructor.

InstanceRankNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceRankNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization.Parameterizer

instances - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter

Cache for the generated instances.

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate

instantiate(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate

Full instantiation method.

instantiate(Database, SimpleTypeInformation<?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate

Instantiate for a database.

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate

instantiate(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate

Full instantiation interface.

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate

instantiate(Database, SimpleTypeInformation<?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.NeighborPredicate

Instantiate for a database.

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor

instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor

instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory

instantiate(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory

instantiate(Database, Relation<? extends O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.NeighborSetPredicate.Factory

Instantiation method.

instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory

instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory

instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory

instantiate(Database, Relation<? extends O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.WeightedNeighborSetPredicate.Factory

Instantiation method.

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDRangeDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

Instantiate with a database to get the actual distance query.

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialNorm

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter

instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

Instantiate with a database to get the actual distance query.

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction

instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction

instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringDistanceSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction

instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.IndexBasedSimilarityFunction

Preprocess the database to get the actual distance function.

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

Instantiate with a representation to get the actual similarity query.

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory

instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.IndexFactory

Sets the database in the distance function of this index (if existing).

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory

instantiate(Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory

instantiate(Relation<NV>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory

instantiate(Relation<NV>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.localpca.FilteredLocalPCAIndex.Factory

Instantiate the index for a given database.

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory

instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.LocalProjectionIndex.Factory

Instantiate the index for a given database.

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory

instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.preference.PreferenceVectorIndex.Factory

Instantiate the index for a given database.

instantiate(Relation<O>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborIndex.Factory

Instantiate the index for a given database.

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory

instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory

instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor

instantiate(Executor) - Method in interface de.lmu.ifi.dbs.elki.parallel.processor.Processor

Create an instance.

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor

instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor

instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble

instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger

instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject

instantiate() - Method in interface de.lmu.ifi.dbs.elki.parallel.variables.SharedVariable

Instantiate for an execution thread.

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

Returns a new instance of the given type for the specified className.

instantiateClass(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter

Returns a new instance for the value (i.e., the class name) of this class parameter.

instantiateClass(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter

Returns a new instance for the value (i.e., the class name) of this class parameter.

instantiateClasses(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter

Returns a list of new instances for the value (i.e., the class name) of this class list parameter.

instantiateClasses(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter

instantiateGenerics(Class<?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Returns a new instance of the given type for the specified className.

instantiateVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

Instantiate a visualization.

INT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Static instance.

IntArrayStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Histogram containing an array of ints (i.e.

IntArrayStaticHistogram(int, double, double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram

Constructor.

IntDoublePair - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Pair storing an integer and a double.

IntDoublePair(int, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

Constructor

IntDynamicHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

A flexible histogram storing int, that can dynamically adapt the number of bins to the data fed into the histogram.

IntDynamicHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram

Constructor.

INTEGER - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Integer type.

INTEGER_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Adapter for integer arrays.

INTEGER_NULL - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction

Constants for checking null.

IntegerArray - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Array of int values.

IntegerArray() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Constructor.

IntegerArray(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Constructor.

IntegerArray(IntegerArray) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Constructor from an existing array.

IntegerArrayDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Trivial combination interface.

IntegerArrayQuickSort - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arrays

Class to sort an int array, using a modified quicksort.

IntegerArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort

IntegerArrayStaticDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Combination of ArrayStaticDBIDs and IntegerDBIDs.

IntegerComparator - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.arrays

Interface for comparing two Integer.

IntegerDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore

Integer-valued data store (avoids boxing/unboxing).

IntegerDBID - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Database ID object.

IntegerDBID(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

Constructor from integer id.

IntegerDBID(Integer) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

Constructor from integer id.

IntegerDBID.DynamicSerializer - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Dynamic sized serializer, using varint.

IntegerDBID.DynamicSerializer() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DynamicSerializer

Constructor.

IntegerDBID.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Pseudo iterator for DBIDs interface.

IntegerDBID.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr

IntegerDBID.StaticSerializer - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Static sized serializer, using regular integers.

IntegerDBID.StaticSerializer() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer

Constructor.

IntegerDBIDArrayIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Modifiable integer array iterator.

IntegerDBIDArrayMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Modifiable integer array iterator.

IntegerDBIDArrayQuickSort - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Class to sort an integer DBID array, using a modified quicksort.

IntegerDBIDArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort

IntegerDBIDIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Iterator for integer DBIDs.

IntegerDBIDKNNList - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Combination interface for KNNList and IntegerDBIDs.

IntegerDBIDKNNSubList - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Sublist of an existing result to contain only the first k elements.

IntegerDBIDKNNSubList(IntegerDBIDKNNList, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList

Constructor.

IntegerDBIDKNNSubList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Iterator for the sublist.

IntegerDBIDKNNSubList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr

IntegerDBIDMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Modifiable iterator interface for integer DBIDs.

IntegerDBIDPair - Class in de.lmu.ifi.dbs.elki.database.ids.integer

DBID pair using two ints for storage.

IntegerDBIDPair(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

Initialize pair

IntegerDBIDPair.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Iterator.

IntegerDBIDPair.Itr(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr

Constructor.

IntegerDBIDPair.Slice - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Slice of an array.

IntegerDBIDPair.Slice(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice

Constructor.

IntegerDBIDPair.Slice.SliceItr - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Iterator class.

IntegerDBIDPair.Slice.SliceItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr

IntegerDBIDRange - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Representing a DBID range allocation.

IntegerDBIDRange(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

Constructor.

IntegerDBIDRange.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Iterator in ELKI/C++ style.

IntegerDBIDRange.Itr(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr

Constructor.

IntegerDBIDRef - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

DBID reference that references an integer value.

IntegerDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer

Integer DBID collection.

IntegerDBIDVar - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Variable for storing a single DBID reference.

IntegerDBIDVar() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

Constructor.

IntegerDBIDVar(DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

Constructor.

IntegerDBIDVar.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Pseudo iterator for DBIDs interface.

IntegerDBIDVar.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr

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

Returns the integer digits of the specified double value.

IntegerHeap - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Basic in-memory heap for int values.

IntegerHeap.UnsortedIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

IntegerMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Binary heap for primitive types.

IntegerMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

Constructor, with default size.

IntegerMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

Constructor, with given minimum size.

IntegerMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

IntegerMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter

IntegerMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Binary heap for primitive types.

IntegerMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

Constructor, with default size.

IntegerMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

Constructor, with given minimum size.

IntegerMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

IntegerMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter

IntegerMinMax - Class in de.lmu.ifi.dbs.elki.math

Class to find the minimum and maximum int values in data.

IntegerMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Constructor without starting values.

IntegerMinMax(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Constructor with predefined minimum and maximum values.

IntegerObjectHeap<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Basic in-memory heap interface, for int keys and V values.

IntegerObjectHeap.UnsortedIter<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

IntegerObjectMaxHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Binary heap for primitive types.

IntegerObjectMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

Constructor, with default size.

IntegerObjectMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

Constructor, with given minimum size.

IntegerObjectMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

IntegerObjectMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter

IntegerObjectMinHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Binary heap for primitive types.

IntegerObjectMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

Constructor, with default size.

IntegerObjectMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

Constructor, with given minimum size.

IntegerObjectMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unsorted iterator - in heap order.

IntegerObjectMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter

IntegerPriorityObject<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Object for a priority queue with integer priority.

IntegerPriorityObject(int, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject

Constructor.

IntegerRankTieNormalization - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise

Normalize vectors according to their rank in the attributes.

IntegerRankTieNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization

Constructor.

IntegerRankTieNormalization.Sorter - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise

Class to sort an index array by a particular dimension.

IntegerRankTieNormalization.Sorter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter

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

Vector type using int[] storage.

IntegerVector(int[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector

Private constructor.

IntegerVector(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector

Create an IntegerVector consisting of the given integer values.

IntegerVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory for integer vectors.

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

IntegerVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

IntegerVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory.Parameterizer

IntegerVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.

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

IntegerVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class for dense integer vectors with up to 127 dimensions, by using a byte for storing the dimensionality.

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

IntegerVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class for variable dimensionality by using VarInt encoding.

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

integrityCheck(AbstractMTree<O, N, E, ?>, E) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Tests this node (for debugging purposes).

integrityCheck(AbstractRStarTree<N, E, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Tests this node (for debugging purposes).

integrityCheckParameters(E, N, int, AbstractMTree<O, N, E, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode

Tests, if the parameters of the entry representing this node, are correctly set.

integrityCheckParameters(MkAppEntry, MkAppTreeNode<O>, int, AbstractMTree<O, MkAppTreeNode<O>, MkAppEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode

integrityCheckParameters(MkCoPEntry, MkCoPTreeNode<O>, int, AbstractMTree<O, MkCoPTreeNode<O>, MkCoPEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

integrityCheckParameters(MkMaxEntry, MkMaxTreeNode<O>, int, AbstractMTree<O, MkMaxTreeNode<O>, MkMaxEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode

Calls the super method and tests if the k-nearest neighbor distance of this node is correctly set.

integrityCheckParameters(MkTabEntry, MkTabTreeNode<O>, int, AbstractMTree<O, MkTabTreeNode<O>, MkTabEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode

Tests, if the parameters of the entry representing this node, are correctly set.

integrityCheckParameters(N, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

Tests, if the parameters of the entry representing this node, are correctly set.

integrityCheckParameters(DeLiCluNode, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode

Tests, if the parameters of the entry representing this node, are correctly set.

integrityCheckParameters(RdKNNNode, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

Tests, if the parameters of the entry representing this node, are correctly set.

interleaveBits(long[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter

Select the "iter" highest bit from each dimension.

interleaveBits(int[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter

Select the "iter" highest bit from each dimension.

interleaveBits(short[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter

Select the "iter" highest bit from each dimension.

interleaveBits(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter

Select the "iter" highest bit from each dimension.

INTERNAL_HEADER_SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Size of the classes header size.

INTERNAL_MIME_TYPE - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

Mime type

INTERNAL_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

ELKI internal thumbnail protocol prefix

INTERNAL_PROTOCOL - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

ELKI internal thumbnail protocol id.

internalErrors - Variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors

The errors that occurred.

internalGetIndex() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDRef

Get the internal index.

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs.UnmodifiableDBIDIter

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

Return the integer value of the object ID.

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr

internalGetIndex() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRef

Return the integer value of the object ID.

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter

internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter

internalIntersectionSize(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Compute the set intersection size of two sets.

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

Pseudo error class that wraps multiple error reports into one.

InternalParameterizationErrors(String, Collection<? extends Exception>) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors

Constructor.

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

Constructor.

internalSetIndex(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

Internal set to integer.

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

Compute whether two vectors intersect.

intersect(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Test whether two Bitsets intersect.

intersect(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Test whether two Bitsets intersect.

intersection(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil

Calculate the intersection of the two MBRs or null if they do not intersect.

intersection(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Compute the set intersection of two sets.

intersectionMatrix(int[][], ArrayList<? extends DBIDs>, ArrayList<? extends DBIDs>, int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity

Intersect the two 1d grid decompositions, to obtain a 2d matrix.

intersectionMatrix(int[][], ArrayList<int[]>, ArrayList<int[]>, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure

Intersect the two 1d grid decompositions, to obtain a 2d matrix.

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

Compute the vector intersection size.

intersectionSize(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Compute the set intersection size of two sets.

intersectionSize(int[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure

Compute the intersection of two sorted integer lists.

intersectionSize(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Compute the intersection size of two Bitsets.

intersectionSize(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Compute the intersection size of two Bitsets.

intersects(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil

Returns true if the two SpatialComparables intersect, false otherwise.

intersects2DIncomplete(Polygon) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Simple polygon intersection test.

intervalID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Holds the unique id of this interval.

intervals - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

The one-dimensional intervals of which this unit is build.

IntHistogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Histogram storing int values.

IntHistogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Iterator interface.

IntIntPair - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Pair storing two integers.

IntIntPair(int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

Constructor

IntListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a list of integer values.

IntListParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter

Constructs an integer list parameter

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

Constructs an integer list parameter

intp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

Integer value of p.

IntParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying an integer value.

IntParameter(OptionID, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter

Constructs an integer parameter with the given optionID.

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

Constructs an integer parameter with the given optionID.

IntrinsicDimensionalityEstimator - Interface in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Estimate the intrinsic dimensionality from a distance list.

IntrinsicDimensionalityOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Use intrinsic dimensionality for outlier detection.

IntrinsicDimensionalityOutlier(DistanceFunction<? super O>, int, IntrinsicDimensionalityEstimator) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier

Constructor.

IntrinsicDimensionalityOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Parameterization class.

IntrinsicDimensionalityOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier.Parameterizer

IntStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Histogram class storing int values.

IntStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram

Constructor.

IntStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Iterator class.

IntStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram.Iter

intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector

intValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit

intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector

intValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector

Returns the value in the specified dimension as int.

intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector

intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

Deprecated.

intValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Deprecated.

As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterIntValue(int).

intValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.IntegerDataStore

Retrieves a value from the storage.

intValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore

intValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

intValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

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

intValue() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance

Get the variables value.

intValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter

Get the parameter value as integer

inv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

the inverse transformation

invalid() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory

Get the invalid DBID value, usable as "undefined" placeholder.

invalid() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Get the invalid special ID.

invalid - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory

Invalid ID.

invalid() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory

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

Preallocated exceptions.

invbase - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Inverse of base, for faster division by multiplication.

invCovMatr - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Covariance matrix, and inverse.

inverse - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

Flag whether to iterator over set or unset values.

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

Matrix inverse or pseudoinverse

inverse - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Integer inverse

inverse(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

Compute the inverse with respect to the given base.

inverseDensities - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS

Inverse Densities correspond to average distances in point set of projections

InverseDocumentFrequencyNormalization<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise

Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).

InverseDocumentFrequencyNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

Constructor.

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

Inverse Linear Weight Function.

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

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

Inverse proportional weight function, scaled using the standard deviation. 1 / (1 + distance/stddev)

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

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

Inverse proportional weight function, scaled using the maximum. 1 / (1 + distance/max)

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

inversePurity() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Get the set matchings inverse purity (second:first clustering) (normalized, 1 = equal)

invert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel

Invert the result

invert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer

INVERT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel

OptionID for inversion flag.

inverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

Inversion flag.

inverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Inversion flag.

inverted - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter

Inversion flag

inverted - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer

Inversion flag

inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling

Inversion flag.

inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling

Use inverted ranking

inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling

Use inverted ranking

INVERTED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Flag parameter for inverted scores.

INVERTEDAXIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance

Clickable area for the axis.

InvertedDistanceSimilarityFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.

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

InvertedOutlierScoreMeta - Class in de.lmu.ifi.dbs.elki.result.outlier

Class to signal a value-inverted outlier score, i.e. low values are outliers.

InvertedOutlierScoreMeta(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta

Constructor with all values.

InvertedOutlierScoreMeta(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta

Constructor with range values.

InvertedOutlierScoreMeta(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta

Constructor with actual range only.

invertedRows - Variable in class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInversionsModel

The ids of inverted rows.

invertI(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Invert v inplace.

invertRow(int, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

invf - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel

Model parameters: flattening, inverse flattening.

invgrayC(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...

invgrayI(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...

invLogExpansion - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree

Logarithm base.

invokeBundleFilters(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection

Transforms the specified list of objects and their labels into a list of objects and their associations.

invokeLater(Runnable) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner

Add a new update to run at any appropriate time.

invokeStreamFilters(BundleStreamSource) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection

Transforms the specified list of objects and their labels into a list of objects and their associations.

invp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

p parameter and its inverse.

invp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction

P parameter and its inverse.

INVSCALE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection

Inverse scaling constant.

ipowi(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Fast loop for computing Math.pow(x, p) for p >= 0 integer and x integer.

irow - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Row and column bitmasks.

IS_JAVA7 - Static variable in class de.lmu.ifi.dbs.elki.utilities.Util

Detect Java 7.

IS_ORACLE_JAVA - Static variable in class de.lmu.ifi.dbs.elki.utilities.Util

Detect Oracle Java.

isAngularDistance(AbstractMaterializeKNNPreprocessor<?>) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization

Test whether the given preprocessor used an angular distance function

isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation

isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation

isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

isAssignableFrom(Object) - Method in interface de.lmu.ifi.dbs.elki.data.type.TypeInformation

Test whether this type is assignable from a given object instance.

isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation

isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation

isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

isAssignableFromType(TypeInformation) - Method in interface de.lmu.ifi.dbs.elki.data.type.TypeInformation

Test whether this type is assignable from another type.

isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation

isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

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

Returns true if this unit is already assigned to a cluster.

isAxisInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Get inversion flag of axis.

isAxisInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

isAxisVisible(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Test whether the current axis is visible

isAxisVisible(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AkaikeInformationCriterion

isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterion

isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterionZhao

isBetter(double, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.KMeansQualityMeasure

Compare two scores.

isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterMeanDistanceQualityMeasure

isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterVarianceQualityMeasure

isCellEditable(int, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel

isCellEditable(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow.DatabaseTableModel

isChecked() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox

Return the checkmark status.

isClockwise(List<Vector>) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Verify that the triangle is clockwise

isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily

isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily

isCompatible(DistanceFunction<?>) - Method in interface de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.LocalitySensitiveHashFunctionFamily

Check whether the given distance function can be accelerated using this hash family.

isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily

isCompatibleURL(ParsedURL) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

isCompatibleURLStatic(ParsedURL) - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

Test for a compatible URL.

isComplete() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Test if this tab is complete

isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress

Test whether the progress was completed.

isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress

Return whether the progress is complete

isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress

Return whether the progress is complete

isComplete() - Method in interface de.lmu.ifi.dbs.elki.logging.progress.Progress

Test whether a progress is complete (and thus doesn't need to be shown anymore)

isConnected(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFind

Test if two components are connected.

isConnected(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger

Test if two components are connected.

isConnected(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs

isConnected(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs

isConvex(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D

Simple convexity test.

isCorePoint(DBIDRef, T) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate.Instance

Decide whether the point is a core point, based on its neighborhood.

isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Instance

isCorePoint(DBIDRef, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Instance

isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Instance

isDebugging() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'debug' at 'FINE' level.

isDebuggingFine() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'debug' at 'FINE' level This is the same as Logging.isDebugging()

isDebuggingFiner() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'debug' at 'FINER' level

isDebuggingFinest() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'debug' at 'FINEST' level

isDefined() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

isDefined() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Returns true if the value of the option is defined, false otherwise.

isDimHidden(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

isDimInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Get inversion flag of dimension.

isDimInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

isDirty() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage

Returns true if this page is dirty, false otherwise.

isDirty() - Method in interface de.lmu.ifi.dbs.elki.persistent.Page

Returns true if this page is dirty, false otherwise.

isDisabled(String) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Test if a given algorithm is disabled.

isEmpty() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs

Test for an empty DBID collection.

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs

isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap

Test if the heap is empty.

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap

Is the heap empty?

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap

Is the heap empty?

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap

Is the heap empty?

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap

Is the heap empty?

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Test for emptiness.

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap

Is the heap empty?

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap

Is the heap empty?

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap

Is the heap empty?

isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Test for empty tokens; usually at end of line.

isEmpty() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner

Check whether the queue is empty.

isExpandable - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair

Indicates whether this pair is expandable or not.

isFalse() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag

Shorthand for isDefined() && getValue() == false

isFinite(double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube

Finite (and not NaN) double values.

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

Test force-in-comments flag.

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

Is the matrix full rank?

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

Get GZIP compression flag.

isInfo() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'info' aka 'verbose'.

isLabelColumn(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

Test if the current column is marked as label column.

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

Indicates whether this node is a leaf node.

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

isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node

True, if the node is a leaf.

isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node

True, if the node is a leaf.

isLeaf() - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node

Returns true if this node is a leaf node, false otherwise.

isLeafEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry

isLeafEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry

isLeafEntry() - Method in interface de.lmu.ifi.dbs.elki.index.tree.Entry

Returns true if this entry is an entry in a leaf node (i.e. this entry represents a data object), false otherwise.

isLeft(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D

Test whether a point is left of the other wrt. the origin.

isLinked(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder

Test if an object is already linked.

isLocalMaximum(double, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC

Test if a point is a local density maximum.

isLoggable(Logging.Level) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Verify if logging is enabled at that particular level.

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction

isMetric() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

Is this distance function metric (in particular, does it satisfy the triangle equation?)

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction

isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

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

Getter for noise flag.

isNone() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment

Check if this segment contains the pairs that are never clustered by any of the clusterings (all 0).

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

Is the matrix nonsingular?

isNotSpurious(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster

Test if a cluster is spurious.

isNull(Object) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction

Test a value for null.

isOptional() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

isOptional() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Checks if this parameter is an optional parameter.

isParent(ERiCNeighborPredicate<V>.Instance, Cluster<CorrelationModel<V>>, Hierarchy.Iter<Cluster<CorrelationModel<V>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

Returns true, if the specified parent cluster is a parent of one child of the children clusters.

isParent(Relation<V>, Cluster<SubspaceModel>, Hierarchy.Iter<Cluster<SubspaceModel>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Returns true, if the specified parent cluster is a parent of one child of the children clusters.

isQuote(int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Detect quote characters.

isQuoted() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Test if the current string was quoted.

isReferenceResult(Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering

Test if a clustering result is a valid reference result.

isRoot(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Test if a given ID is the root.

isSelected(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Test whether a segment is selected.

isSet() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar

Test if the variable is well-defined.

isSet() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

isSoft() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

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

Checks if a solved system is solvable.

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

Checks solvability of this linear equation system with the chosen method.

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

Tests if system has already been tested for solvability.

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

Symmetric and positive definite flag.

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

Is the matrix symmetric and positive definite?

isSpurious(HDBSCANHierarchyExtraction.TempCluster, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction

Spurious, also for non-materialized clusters.

isSpurious(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Test if a cluster is spurious.

isStarted() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Test whether the path drawing has already started.

isStatistics() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'statistics'.

isSubspace(Subspace) - Method in class de.lmu.ifi.dbs.elki.data.Subspace

Returns true if this subspace is a subspace of the specified subspace, i.e.

issuedQueries - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

isSuperset(P3C.Signature) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature

Test whether this is a superset of the other signature.

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter

isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

Is this function symmetric?

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction

isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction

isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

Is this function symmetric?

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

Symmetry flag.

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

Returns true, if this matrix is symmetric, false otherwise.

isTestAgainstModel() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Return value of the GeneratorMain.testAgainstModel flag.

isTrue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag

Shorthand for isDefined() && getValue() == true

isUnpaired() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment

Checks if the segment has a cluster with unpaired objects.

isValid() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Test whether the result is defined.

isValid() - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Test whether the result is defined.

isValid(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

isValid(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Checks if the given argument is valid for this option.

isVerbose() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'verbose' aka 'info'.

isVeryVerbose() - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Test whether to log 'veryverbose'.

isWritable() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Check if the file is writable.

isZero(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Test for the bitstring to be all-zero.

it - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter

Wrapped iterator.

it - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs.UnmodifiableDBIDIter

Wrapped iterator.

it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr

The actual iterator.

it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter

Wrapped iterator.

it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter

Wrapped iterator.

it - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.FilteredIter

Iterator in primary hierarchy.

it - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent

Plot item selected

it - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot.SelectPlotEvent

Plot item clicked

it1 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter

Iterator in primary hierarchy.

it2 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter

Iterator in secondary hierarchy.

item - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset

Trivial item.

item - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

Meta information on the visualizers contained.

itemIterator() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Iterate (recursively) over all plot items, including itself.

items - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset

Items, as a bitmask.

items - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset

Items, as a bitmask.

Itemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining

APRIORI itemset.

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

itemsets - Variable in class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult

The supports of all frequent itemsets.

iter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Iterator to use for more efficient random access.

iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel

iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder

Get an iterator.

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

iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

iter() - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector

Iterator over non-zero features only, ascending.

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

iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iter() - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Iterator over non-zero features only, ascendingly.

iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

iter() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Get an iterator to the vector contents.

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs

Iterable

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs

Get a DBID iterator (a more efficient API).

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDList

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList

iter - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr

Array iterator, for referencing.

iter - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr

Array iterator, for referencing.

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.HashSetModifiableDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayDBIDs

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNList

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs

iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs

Get a modifiable DBID iterator (a more efficient API).

iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList

iter - Variable in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator

The real iterator.

iter() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.DBIDMap

Get an array iterator, for scanning.

iter() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.RangeMap

iter() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap

iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter

Original Iterator

iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter

Original iterator.

iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter

Original Iterator

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram

Get an iterator over all histogram bins.

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.Histogram

Get an iterator over all histogram bins.

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram

Get a histogram iterator.

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram

iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortHistogram

iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram

Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator

Iterator interface for more than one return value.

ITER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

Number of iterations.

IterableResult<O> - Interface in de.lmu.ifi.dbs.elki.result

Interface of an "iterable" result (e.g. a list, table) that can be printed one-by-one.

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

iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

iterAdvance(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector

Advance the iterator to the next position.

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

iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

iterAll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterAll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate over all members.

iterAncestors(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterAncestors(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate ancestors (recursive parents)

iterAncestorsSelf(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterAncestorsSelf(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate ancestors (recursive parents) and self.

iterate() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Perform an iteration of the approximation loop.

iterateClass(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.style.ClassStylingPolicy

Iterate over all objects from a given class.

iterateClass(int) - Method in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy

iterateClass(int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

iterations - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder

Number of iterations to perform

iterations - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

Number of iterations to perform

iterator() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepAreaResult

iterator() - Method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.CollectionFromRelation

iterator() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

iterator() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Get an iterator for the curve.

iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve

Get an iterator for the curve.

iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot

iterator() - Method in class de.lmu.ifi.dbs.elki.result.CollectionResult

Implementation of the IterableResult interface, using the backing collection.

iterator() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult

iterator() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup

iterator() - Method in interface de.lmu.ifi.dbs.elki.result.IterableResult

Retrieve an iterator for the result.

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

iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

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

iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterByteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Get the value of the iterators' current dimension.

iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

iterChildren(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterChildren() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Iterate over parents.

iterChildren(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate over the (direct) children.

iterChildrenReverse(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterChildrenReverse() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Iterate over parents.

iterChildrenReverse(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate over the (direct) children in reverse order.

iterDBIDs(COPACNeighborPredicate.COPACModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Instance

iterDBIDs(DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance

iterDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance

iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Instance

iterDBIDs(T) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.NeighborPredicate.Instance

Add the neighbors to a DBID set

iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Instance

iterDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance

iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView

iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView

iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView

iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView

iterDBIDs() - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation

Get an iterator access to the DBIDs.

iterDescendants(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterDescendants(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate descendants (recursive children)

iterDescendantsSelf(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterDescendantsSelf(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate descendants (recursive children) and self.

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

iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

iterDim(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector

Get the dimension an iterator points to.

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

iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

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

iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

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

iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterDoubleValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Get the value of the iterators' current dimension.

iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

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

iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

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

iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterFloatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Get the value of the iterators' current dimension.

iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

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

iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

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

iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterIntValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Get the value of the iterators' current dimension.

iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

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

iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

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

iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterLongValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Get the value of the iterators' current dimension.

iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

iterParents(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterParents() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Iterate over parents.

iterParents(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate over the (direct) parents.

iterParentsReverse(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

iterParentsReverse() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Iterate over parents.

iterParentsReverse(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Iterate over the (direct) parents in reverse order.

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

iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

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

iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterShortValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Get the value of the iterators' current dimension.

iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

iterToplevelClusters() - Method in class de.lmu.ifi.dbs.elki.data.Clustering

Iterate over the top level clusters.

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

iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

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

iterValid(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector

Test the iterator position for validity.

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

iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

iwidth - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Scaling factor: inverse of width.

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