I-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

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I

i - Variable in class elki.algorithm.KNNJoin.Task: First offset.
i - Variable in class elki.clustering.correlation.ORCLUS.ProjectedEnergy: Origin cluster indexes
i1 - Variable in class elki.svm.data.SimilarityQueryAdapter: Iterators to offset into the ids.
i2 - Variable in class elki.svm.data.SimilarityQueryAdapter: Iterators to offset into the ids.
iconcache - Static variable in class elki.gui.icons.StockIcon
id - Variable in class elki.database.ids.integer.DoubleIntegerDBIDPair: The DB id.
id - Variable in class elki.database.ids.integer.IntegerDBID: The actual object ID.
id - Variable in class elki.database.ids.integer.IntegerDBIDVar: The actual value.
id - Variable in class elki.datasource.bundle.SingleObjectBundle: Object ID
id - Variable in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class elki.index.tree.spatial.SpatialDirectoryEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class elki.index.tree.spatial.SpatialPointLeafEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class elki.index.vafile.VectorApproximation: Object id.
id - Variable in class elki.outlier.distance.HilOut.HilFeature: Object ID
id - Variable in class elki.persistent.AbstractExternalizablePage: The unique id if this page.
id - Variable in class elki.timeseries.ChangePoint: Data set reference.
id - Variable in class elki.visualization.batikutil.NodeAppendChild: The ID.
id - Variable in class elki.visualization.batikutil.NodeReplaceByID: ID of element to replace.
id - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: Segment we are attached to
ID - Static variable in class elki.clustering.correlation.cash.CASHInterval: Used for id assignment.
ID_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: Parameter that specifies the object ID pattern
ID_PATTERN_DEFAULT - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore: The default pattern for matching ID lines.
id1 - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments: The id of the first routing object.
id2 - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments: The id of the second routing object.
identity(int, int) - Static method in class elki.math.linearalgebra.VMath: Generate unit / identity / "eye" matrix.
IdentityScaling - Class in elki.utilities.scaling: The trivial "identity" scaling function.
IdentityScaling() - Constructor for class elki.utilities.scaling.IdentityScaling
idf - Variable in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: The IDF storage.
idim - Variable in class elki.outlier.lof.KDEOS: Intrinsic dimensionality.
IDistanceKNNSearcher(DistanceQuery<O>) - Constructor for class elki.index.idistance.InMemoryIDistanceIndex.IDistanceKNNSearcher: Constructor.
IDistanceRangeSearcher(DistanceQuery<O>) - Constructor for class elki.index.idistance.InMemoryIDistanceIndex.IDistanceRangeSearcher: Constructor.
idmap - Variable in class elki.database.datastore.memory.ArrayDBIDStore: DBID to index map
idmap - Variable in class elki.database.datastore.memory.ArrayDoubleStore: DBID to index map
idmap - Variable in class elki.database.datastore.memory.ArrayIntegerStore: DBID to index map
idmap - Variable in class elki.database.datastore.memory.ArrayRecordStore: DBID to index map
idmap - Variable in class elki.database.datastore.memory.ArrayStore: DBID to index map.
idmap - Variable in class elki.index.tree.betula.CFTree: Stored leaf entry to dbid relation
idmap - Variable in class elki.similarity.kernel.KernelMatrix: Static mapping from DBIDs to indexes.
IDOS<O> - Class in elki.outlier.intrinsic: Intrinsic Dimensional Outlier Detection in High-Dimensional Data.
IDOS(Distance<? super O>, IntrinsicDimensionalityEstimator<? super O>, int, int) - Constructor for class elki.outlier.intrinsic.IDOS: Constructor.
IDOS.Par<O> - Class in elki.outlier.intrinsic: Parameterization class.
idpattern - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore: object id pattern
idpattern - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: object id pattern
idrep - Variable in class elki.database.HashmapDatabase: The DBID representation we use
idrep - Variable in class elki.database.ProxyDatabase: Our DBID representation
idrep - Variable in class elki.database.StaticArrayDatabase: The DBID representation we use
ids - Variable in class elki.clustering.correlation.cash.CASHInterval: Holds the ids of the objects associated with this interval.
ids - Variable in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate.Instance: DBIDs to process
ids - Variable in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel: Neighbor ids.
ids - Variable in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate.Instance: DBIDs to process
ids - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.PreDeConModel: Neighbor ids.
ids - Variable in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate.Instance: DBIDs to process
ids - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter: IDs to process.
ids - Variable in class elki.clustering.hierarchical.ClusterMergeHistory: The initial DBIDs
ids - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: The DBIDs in this result.
ids - Variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance: Object IDs
ids - Variable in class elki.clustering.kmedoids.CLARANS.Assignment: Ids to process.
ids - Variable in class elki.clustering.kmedoids.PAM.Instance: Ids to process.
ids - Variable in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Instance: Ids to process.
ids - Variable in class elki.clustering.optics.ClusterOrder: Cluster order.
ids - Variable in class elki.clustering.optics.GeneralizedOPTICS.Instance: IDs to process.
ids - Variable in class elki.clustering.optics.OPTICSHeap.Instance: IDs to process.
ids - Variable in class elki.clustering.optics.OPTICSList.Instance: IDs to process.
ids - Variable in class elki.clustering.silhouette.FastMSC.Instance: Ids to process.
ids - Variable in class elki.clustering.silhouette.FastMSC.Instance2: Ids to process.
ids - Variable in class elki.clustering.silhouette.PAMSIL.Instance: Ids to process.
ids - Variable in class elki.clustering.subspace.clique.CLIQUEUnit: The ids of the feature vectors this unit contains.
ids - Variable in class elki.clustering.subspace.P3C.ClusterCandidate: Objects contained in cluster.
ids - Variable in class elki.clustering.subspace.P3C.Signature: Object ids.
ids - Variable in class elki.data.Cluster: Cluster data.
ids - Variable in class elki.database.HashmapDatabase: IDs of this database
ids - Variable in class elki.database.ids.integer.DoubleIntegerDBIDArrayList: DBIDs
ids - Variable in class elki.database.relation.DBIDView: The ids object
ids - Variable in class elki.database.relation.MaterializedDoubleRelation: The DBIDs this is supposed to be defined for.
ids - Variable in class elki.database.relation.MaterializedRelation: The DBIDs this is supposed to be defined for.
ids - Variable in class elki.database.StaticArrayDatabase: IDs of this database
ids - Variable in class elki.datasource.bundle.MultipleObjectsBundle: DBIDs for these objects, but may be null.
ids - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: The database IDs used
ids - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix: DBID range.
ids - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix: DBID range.
ids - Variable in class elki.outlier.density.IsolationForest.ForestBuilder: Array of current candidates
ids - Variable in class elki.parallel.ParallelExecutor.BlockArrayRunner: Array IDs to process
ids - Variable in class elki.parallel.SingleThreadedExecutor.SingleThreadedRunner: Array IDs to process
ids - Variable in class elki.projection.DenseAffinityMatrix: Indexed objects.
ids - Variable in class elki.projection.SparseAffinityMatrix: Indexed data points
ids - Variable in class elki.svm.data.SimilarityQueryAdapter: Object ids to process.
ids - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs: Object ID range.
ids - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs: Object ID range.
ids - Variable in class elki.visualization.style.ClusterStylingPolicy: Object IDs.
IDSTART_ID - Static variable in class elki.datasource.filter.FixedDBIDsFilter.Par: Optional parameter to specify the first object ID to use.
idview - Variable in class elki.database.relation.ProxyView: The DBIDs we contain
idx - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: Object indexes
idx - Variable in class elki.svm.data.ByteWeightedArrayDataSet
idx - Variable in class elki.svm.data.DoubleWeightedDataSet
IGNORE_CLASSES - Static variable in class elki.logging.ELKILogRecord: Classes to ignore when finding the relevant caller.
IGNORE_NOISE - elki.evaluation.clustering.internal.NoiseHandling: Ignore all noise points
IGNORE_WEIGHT_ID - Static variable in class elki.clustering.kmeans.BetulaLloydKMeans.Par: Ignore cluster weights (naive approach)
ignoreWeight - Variable in class elki.clustering.kmeans.BetulaLloydKMeans: Ignore weight
ignoreWeight - Variable in class elki.clustering.kmeans.BetulaLloydKMeans.Par: Ignore weight
ilogs - Variable in class elki.math.statistics.intrinsicdimensionality.GEDEstimator: Cached logs of integers.
imadsigma - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization: Stores the inverse median absolute deviation in each dimension.
images - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry: The image cache.
img - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Our image
img - Variable in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance: The actual image
imgfile - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: The file we have written the image to
IMGFILEPREFIX - Static variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Prefix for filenames
IMPORTANT - Static variable in annotation type elki.utilities.Priority: Important implementations.
importInteger(int) - Method in interface elki.database.ids.DBIDFactory: Import and integer as DBID.
importInteger(int) - Static method in class elki.database.ids.DBIDUtil: Import and integer as DBID.
importInteger(int) - Method in class elki.database.ids.integer.AbstractIntegerDBIDFactory
in - Variable in class elki.datasource.InputStreamDatabaseConnection: The input stream to parse from.
in - Variable in class elki.utilities.io.LineReader: Input stream to read from
IN_TIES - Static variable in class elki.utilities.datastructures.heap.UpdatableHeap: Constant for "in ties list", for tied heaps.
inBoth - Variable in class elki.evaluation.clustering.PairCounting: Pairs in both clusterings.
inCircle(double[]) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle: Test whether a point is within the circumference circle.
includeSelf - Variable in class elki.algorithm.statistics.AveragePrecisionAtK: Include query object in evaluation.
includeSelf - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance: Include query object in evaluation.
IncompatibleDataException - Exception in elki.utilities.exceptions: Exception thrown when no compatible data was found.
IncompatibleDataException(String) - Constructor for exception elki.utilities.exceptions.IncompatibleDataException: Constructor.
IncompatibleDataException(String, Throwable) - Constructor for exception elki.utilities.exceptions.IncompatibleDataException: Constructor.
InconsistentDataException - Exception in elki.utilities.exceptions: Data inconsistency exception.
InconsistentDataException(String) - Constructor for exception elki.utilities.exceptions.InconsistentDataException: Constructor.
InconsistentDataException(String, Throwable) - Constructor for exception elki.utilities.exceptions.InconsistentDataException: Constructor.
increaseEntries(int) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode: Increases the length of the entries array to entries.length + 1.
increaseSupport() - Method in class elki.itemsetmining.Itemset: Increase the support of the itemset.
IncreasingVectorIter - Class in elki.evaluation.scores.adapter: Class to iterate over a number vector in decreasing order.
IncreasingVectorIter(NumberVector, NumberVector) - Constructor for class elki.evaluation.scores.adapter.IncreasingVectorIter: Constructor.
incRefinements(int) - Method in class elki.index.AbstractRefiningIndex.AbstractRefiningQuery: Count extra refinements.
increment() - Method in class elki.logging.statistics.AtomicLongCounter
increment() - Method in interface elki.logging.statistics.Counter: Increment the counter.
increment() - Method in class elki.logging.statistics.UnsynchronizedLongCounter
increment(double, double) - Method in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Put fresh data into the histogram (or into the cache)
increment(double, double) - Method in class elki.utilities.datastructures.histogram.DoubleHistogram: Increment the value of a bin.
increment(long) - Method in class elki.logging.statistics.AtomicLongCounter
increment(long) - Method in interface elki.logging.statistics.Counter: Increment the counter by i.
increment(long) - Method in class elki.logging.statistics.LongStatistic: Increment counter.
increment(long) - Method in class elki.logging.statistics.UnsynchronizedLongCounter
increment(DBIDRef, double) - Method in class elki.database.datastore.memory.ArrayDoubleStore
increment(DBIDRef, double) - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
increment(DBIDRef, double) - Method in interface elki.database.datastore.WritableDoubleDataStore: Increment the specified value with the specified id in this storage.
increment(DBIDRef, int) - Method in class elki.database.datastore.memory.ArrayIntegerStore
increment(DBIDRef, int) - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
increment(DBIDRef, int) - Method in interface elki.database.datastore.WritableIntegerDataStore: Increment a value.
incrementalRedraw() - Method in class elki.visualization.visualizers.AbstractVisualization: Redraw the visualization (maybe incremental).
incrementalRedraw() - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
incrementalRedraw() - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
incrementalRedraw() - Method in class elki.visualization.visualizers.StaticVisualizationInstance
incrementalRedraw() - Method in interface elki.visualization.visualizers.Visualization: Request an update of the visualization.
incrementalUpdateMean(double[], NumberVector, int, double) - Static method in class elki.clustering.kmeans.AbstractKMeans: Compute an incremental update for the mean.
incrementDiscarded() - Method in interface elki.data.synthetic.bymodel.GeneratorInterfaceDynamic: Increment the number of elements discarded.
incrementDiscarded() - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster
incrementIssuedQueries() - Method in class elki.index.vafile.PartialVAFile.Statistics
incrementProcessed(Logging) - Method in class elki.logging.progress.AbstractProgress: Increment the processed counter.
incrementProcessed(AbstractProgress) - Method in class elki.logging.Logging: Increment a progress (unless null).
incrementQueryTime(long) - Method in class elki.index.vafile.PartialVAFile.Statistics
incrementRefinements() - Method in class elki.index.vafile.PartialVAFile.Statistics
incrementScannedBytes(long) - Method in class elki.index.vafile.PartialVAFile.Statistics
IndefiniteProgress - Class in elki.logging.progress: Progress class without a fixed destination value.
IndefiniteProgress(String) - Constructor for class elki.logging.progress.IndefiniteProgress: Constructor.
IndefiniteProgress(String, Logging) - Constructor for class elki.logging.progress.IndefiniteProgress: Constructor with logging.
index - Variable in class elki.clustering.optics.FastOPTICS: Index.
index - Variable in class elki.clustering.optics.OPTICSXi.SteepScanPosition: Current position
index - Variable in class elki.database.datastore.memory.ArrayRecordStore.StorageAccessor: Representation index.
index - Variable in class elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor: Representation index.
index - Variable in class elki.database.datastore.memory.MapRecordStore.StorageAccessor: Representation index.
index - Variable in class elki.distance.AbstractIndexBasedDistance.Instance: Index we use
index - Variable in class elki.index.idistance.InMemoryIDistanceIndex: The actual index.
index - Variable in class elki.index.invertedlist.InMemoryInvertedIndex: Inverted index.
index - Variable in class elki.index.tree.BreadthFirstEnumeration: The index storing the nodes.
index - Variable in class elki.index.tree.IndexTreePath: The index of this component in its parent.
index - Variable in class elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery: The index to use
index - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeKNNByDBID: The index to use
index - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeKNNByObject: The index to use
index - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByDBID: The index to use
index - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByObject: The index to use
index - Variable in class elki.math.statistics.dependence.mcde.MCDETest.RankStruct: Position information
index - Variable in class elki.similarity.AbstractIndexBasedSimilarity.Instance: Parent index
index - Variable in class elki.svm.qmatrix.SVR_Q
index - Variable in class elki.utilities.datastructures.heap.UpdatableHeap: Holds the indices in the heap of each element.
index - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs: Index, to map DBID to offset.
index - Variable in class elki.utilities.io.Tokenizer: Current positions of result and iterator.
index - Variable in class elki.utilities.xml.XMLNodeListIterator: Store the next node
Index - Interface in elki.index: Interface defining the minimum requirements for all index classes.
INDEX - Static variable in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization: Generic tag to indicate the type of element.
INDEX - Static variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization: Generic tag to indicate the type of element.
INDEX - Static variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization: Generic tag to indicate the type of element.
INDEX_ID - Static variable in class elki.database.AbstractDatabase.Par: Parameter to specify the indexes to use.
INDEX_ID - Static variable in interface elki.distance.IndexBasedDistance: OptionID for the index parameter
INDEX_ID - Static variable in class elki.similarity.AbstractIndexBasedSimilarity.Par: Parameter to specify the preprocessor to be used.
IndexBasedDistance<O> - Interface in elki.distance: Distance function relying on an index (such as preprocessed neighborhoods).
IndexBasedDistance.Instance<T,I extends Index> - Interface in elki.distance: Instance interface for Index based distance functions.
IndexBasedSimilarity<O> - Interface in elki.similarity: Interface for preprocessor/index based similarity functions.
IndexBasedSimilarity.Instance<T,I extends Index> - Interface in elki.similarity: Instance interface for index/preprocessor based distance functions.
indexDense(DBIDRef, V) - Method in class elki.index.invertedlist.InMemoryInvertedIndex: Index a single (dense) instance.
indexer - Variable in class elki.clustering.optics.DeLiClu: DeLiClu Index factory.
indexer - Variable in class elki.clustering.optics.DeLiClu.Par: DeLiClu Index factory.
indexes - Variable in class elki.data.SparseByteVector: Indexes of values.
indexes - Variable in class elki.data.SparseDoubleVector: Indexes of values.
indexes - Variable in class elki.data.SparseFloatVector: Indexes of values.
indexes - Variable in class elki.data.SparseIntegerVector: Indexes of values.
indexes - Variable in class elki.data.SparseShortVector: Indexes of values.
indexFactories - Variable in class elki.application.ClassifierHoldoutEvaluationTask: Indexes to add.
indexFactories - Variable in class elki.application.ClassifierHoldoutEvaluationTask.Par: Indexes to add.
indexFactories - Variable in class elki.database.AbstractDatabase: Index factories.
indexFactories - Variable in class elki.database.HashmapDatabase.Par: Indexes to add.
indexFactories - Variable in class elki.database.StaticArrayDatabase.Par: Indexes to add.
indexFactory - Variable in class elki.distance.AbstractIndexBasedDistance: Parameter to specify the preprocessor to be used.
indexFactory - Variable in class elki.similarity.AbstractIndexBasedSimilarity: Parameter to specify the preprocessor to be used.
IndexFactory<V> - Interface in elki.index: Factory interface for indexes.
IndexMetaResult(Collection<Pair<String, String>>, Collection<String>) - Constructor for class elki.evaluation.index.IndexStatistics.IndexMetaResult: Constructor.
indexOfSegment(Segment) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Get the index of a selected segment.
IndexPurity - Class in elki.evaluation.index: Compute the purity of index pages as a naive measure for performance capabilities using the Gini index.
IndexPurity() - Constructor for class elki.evaluation.index.IndexPurity: Constructor.
indexSparse(DBIDRef, SparseNumberVector) - Method in class elki.index.invertedlist.InMemoryInvertedIndex: Index a single (sparse) instance.
IndexStatistics - Class in elki.evaluation.index: Simple index analytics, which includes the toString() dump of index information.
IndexStatistics() - Constructor for class elki.evaluation.index.IndexStatistics: Constructor.
IndexStatistics.IndexMetaResult - Class in elki.evaluation.index: Result class.
indexToFileposition(long) - Method in class elki.persistent.OnDiskArray: Compute file position from index number
IndexTree<N extends Node<E>,E> - Class in elki.index.tree: Abstract super class for all tree based index classes.
IndexTree(PageFile<N>) - Constructor for class elki.index.tree.IndexTree: Constructor.
IndexTreePath<E> - Class in elki.index.tree: Represents a path to a node in an index structure.
IndexTreePath(IndexTreePath<E>, E, int) - Constructor for class elki.index.tree.IndexTreePath: Constructs a new IndexPath.
indices - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: Array of candidate indexes.
indices - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset: Scratch storage.
indices - Variable in class elki.itemsetmining.SparseItemset: Items, as indexes.
indices - Variable in class elki.projection.SparseAffinityMatrix: Non-zero indexes
indirectSelections - Variable in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Segments indirectly selected
Individuum(double, short[]) - Constructor for class elki.outlier.subspace.AggarwalYuEvolutionary.Individuum: Constructor
inferCaller() - Static method in class elki.logging.LoggingUtil: Infer which class has called the logging helper.
inferCallerELKI() - Method in class elki.logging.ELKILogRecord: Infer a caller, ignoring logging-related classes.
infile - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: The data input file.
infile - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par: Data source.
infile - Variable in class elki.datasource.BundleDatabaseConnection: File to load.
infile - Variable in class elki.datasource.BundleDatabaseConnection.Par: File to load.
infile - Variable in class elki.datasource.FileBasedDatabaseConnection.Par: Input stream to process.
INFINITY_LENGTH - Static variable in class elki.utilities.io.ParseUtil: Length of pattern
INFINITY_PATTERN - Static variable in class elki.utilities.io.ParseUtil: Infinity pattern, with any capitalization
inFirst - Variable in class elki.evaluation.clustering.PairCounting: Pairs in first clustering only.
INFLO<O> - Class in elki.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(Distance<? super O>, double, int) - Constructor for class elki.outlier.lof.INFLO: Constructor with parameters.
INFLO.Par<O> - Class in elki.outlier.lof: Parameterization class.
info(CharSequence) - Method in class elki.logging.Logging: Log a message at the 'info' ('verbose') level.
info(CharSequence, Throwable) - Method in class elki.logging.Logging: Log a message at the 'info' ('verbose') level.
Info(int, int, double) - Constructor for class elki.index.tree.spatial.kd.split.SplitStrategy.Info: Constructor.
informationCriterion - Variable in class elki.clustering.kmeans.XMeans: Information criterion to choose the better split.
init - Variable in class elki.application.experiments.ORLibBenchmark: Initialization method.
init - Variable in class elki.application.experiments.ORLibBenchmark.Par: Initialization method.
init(BundleStreamSource) - Method in class elki.datasource.filter.AbstractStreamFilter
init(BundleStreamSource) - Method in interface elki.datasource.filter.StreamFilter: Connect to the previous stream.
init(GLAutoDrawable) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
INIT_ID - Static variable in class elki.clustering.em.BetulaGMM.Par: Parameter to specify the EM cluster models to use.
INIT_ID - Static variable in interface elki.clustering.em.models.BetulaClusterModelFactory: Parameter to specify the cluster center initialization.
INIT_ID - Static variable in interface elki.clustering.em.models.EMClusterModelFactory: Parameter to specify the cluster center initialization.
INIT_ID - Static variable in class elki.clustering.kmeans.FuzzyCMeans.Par: Parameter for k-Means init for initial cluster centers
INIT_ID - Static variable in interface elki.clustering.kmeans.KMeans: Parameter to specify the initialization method
INIT_P - Static variable in class elki.clustering.kmedoids.initialization.AlternateRefinement.Par: Nested inner initialization.
initHeap(ObjectHeap<CASHInterval>, Relation<ParameterizationFunction>, int, DBIDs) - Method in class elki.clustering.correlation.CASH: Initializes the heap with the root intervals.
initHeaps(SpatialPrimitiveDistance<?>, AbstractRStarTreeNode<?, ?>) - Method in class elki.algorithm.KNNJoin: Initialize the heaps.
initial(double, boolean) - Method in interface elki.clustering.hierarchical.linkage.Linkage: Initialization of the distance matrix.
initial(double, boolean) - Method in class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage
initial(double, boolean) - Method in class elki.clustering.hierarchical.linkage.WardLinkage
INITIAL_BUFFER - Static variable in class elki.datasource.bundle.BundleWriter: Initial buffer size.
INITIAL_MEANS - Static variable in class elki.clustering.kmeans.initialization.Predefined.Par: Option to specify the initial means to use.
INITIAL_SIZE - Static variable in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs: Initial size.
INITIAL_SIZE - Static variable in class elki.database.ids.integer.DoubleIntegerDBIDArrayList: Initial size allocation.
INITIAL_SIZE - Variable in class elki.itemsetmining.FPGrowth.FPNode: Initial size, after sizes 0 and 1.
INITIAL_SIZE - Static variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Initial size.
INITIAL_SOLUTION_SCALE - Static variable in class elki.projection.SNE: Scale of the initial solution.
INITIAL_SOLUTION_SCALE - Static variable in class elki.projection.TSNE: Scale of the initial solution.
INITIAL_TIES_SIZE - Static variable in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: Initial size of ties array.
initialAssignment(List<ModifiableDBIDs>, WritableDataStore<SameSizeKMeans.Meta>, DBIDs) - Method in class tutorial.clustering.SameSizeKMeans
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.AnnulusKMeans.Instance
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.ElkanKMeans.Instance
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.ExponionKMeans.Instance
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.HamerlyKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Step 1: For each point I, find its two closest centers, IC1(I) and IC2(I).
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.ShallotKMeans.Instance
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Instance
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Instance
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class elki.clustering.kmeans.YinYangKMeans.Instance: Perform initial cluster assignment,
initialCover() - Method in class elki.utilities.datastructures.KuhnMunkres: Select the last zero in each row to make an initial selection, which may already yield a solution.
initialCover() - Method in class elki.utilities.datastructures.KuhnMunkresWong
initialDBID(DBIDRef) - Method in class elki.clustering.correlation.HiCO.Instance
initialDBID(DBIDRef) - Method in class elki.clustering.optics.GeneralizedOPTICS.Instance: Initialize for a new DBID.
initialDBID(DBIDRef) - Method in class elki.clustering.subspace.DiSH.Instance
initialDBID(DBIDRef) - Method in class elki.clustering.subspace.HiSC.Instance
initialGroupAssignment(int, double[][], int[]) - Method in class elki.clustering.kmeans.YinYangKMeans.Instance: Initial k-means assignment for centers to groups.
initialization - Variable in class elki.clustering.affinitypropagation.AffinityPropagation: Similarity initialization
initialization - Variable in class elki.clustering.em.BetulaGMM.Par: initialization method
initialization - Variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans: k-means++ initialization
initialization - Variable in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans.Par: initialization method
initialization - Variable in class elki.clustering.kmeans.BetulaLloydKMeans: k-means++ initialization
initialization - Variable in class elki.clustering.kmeans.BetulaLloydKMeans.Par: initialization method
initialization - Variable in class elki.index.idistance.InMemoryIDistanceIndex.Factory: Initialization method.
initialization - Variable in class elki.index.idistance.InMemoryIDistanceIndex: Initialization method.
initialize() - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Initialize AN1, AN2, ITRAN, NCP
initialize() - Method in interface elki.database.Database: Initialize the database, for example by loading the input data.
initialize() - Method in class elki.database.HashmapDatabase: Initialize the database by getting the initial data from the database connection.
initialize() - Method in class elki.database.ProxyDatabase
initialize() - Method in class elki.database.StaticArrayDatabase: Initialize the database by getting the initial data from the database connection.
initialize() - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix
initialize() - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix
initialize() - Method in class elki.index.idistance.InMemoryIDistanceIndex
initialize() - Method in interface elki.index.Index: Initialize the index.
initialize() - Method in class elki.index.invertedlist.InMemoryInvertedIndex
initialize() - Method in class elki.index.laesa.LAESA
initialize() - Method in class elki.index.lsh.InMemoryLSHIndex.Instance
initialize() - Method in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
initialize() - Method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
initialize() - Method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
initialize() - Method in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
initialize() - Method in class elki.index.projected.ProjectedIndex
initialize() - Method in class elki.index.tree.IndexTree: Initialize the tree if the page file already existed.
initialize() - Method in class elki.index.tree.metrical.covertree.CoverTree
initialize() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
initialize() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
initialize() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
initialize() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
initialize() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
initialize() - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
initialize() - Method in class elki.index.tree.metrical.vptree.GNAT
initialize() - Method in class elki.index.tree.metrical.vptree.VPTree
initialize() - Method in class elki.index.tree.spatial.kd.MemoryKDTree
initialize() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
initialize() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree
initialize() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
initialize() - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
initialize() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
initialize() - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
initialize() - Method in class elki.index.vafile.PartialVAFile
initialize() - Method in class elki.index.vafile.VAFile
initialize() - Method in class elki.svm.qmatrix.CachedQMatrix
initialize() - Method in class elki.svm.qmatrix.Kernel
initialize() - Method in interface elki.svm.qmatrix.QMatrix: Initialize the Q Matrix.
initialize() - Method in class elki.svm.qmatrix.SVR_Q
initialize() - Static method in class elki.utilities.ELKIServiceScanner: Perform a full (slow) scan for classes.
initialize() - Method in class elki.visualization.gui.detail.DetailView
initialize(double) - Method in class elki.outlier.distance.HilOut.HilbertFeatures: Hilbert function to fill pf with shifted Hilbert values.
initialize(double) - Method in class elki.visualization.gui.overview.OverviewPlot: Initialize the plot.
initialize(double[][]) - Method in class elki.utilities.datastructures.KuhnMunkres: Initialize, and make a deep copy.
initialize(double[][]) - Method in class elki.utilities.datastructures.KuhnMunkresWong
initialize(E) - Method in class elki.index.tree.IndexTree: Initializes the index.
initialize(SimpleTypeInformation<? extends IN>) - Method in interface elki.data.projection.Projection: Initialize
initialize(SimpleTypeInformation<? extends V>) - Method in class elki.data.projection.FeatureSelection
initialize(SimpleTypeInformation<? extends V>) - Method in class elki.data.projection.LatLngToECEFProjection
initialize(SimpleTypeInformation<? extends V>) - Method in class elki.data.projection.LngLatToECEFProjection
initialize(SimpleTypeInformation<? extends V>) - Method in class elki.data.projection.NumericalFeatureSelection
initialize(SimpleTypeInformation<? extends V>) - Method in class elki.data.projection.RandomProjection
initialize(MultipleObjectsBundle) - Method in class elki.evaluation.classification.holdout.AbstractHoldout
initialize(MultipleObjectsBundle) - Method in class elki.evaluation.classification.holdout.DisjointCrossValidation
initialize(MultipleObjectsBundle) - Method in interface elki.evaluation.classification.holdout.Holdout: Initialize the holdout procedure for a data set.
initialize(MultipleObjectsBundle) - Method in class elki.evaluation.classification.holdout.LeaveOneOut
initialize(MultipleObjectsBundle) - Method in class elki.evaluation.classification.holdout.RandomizedCrossValidation
initialize(MultipleObjectsBundle) - Method in class elki.evaluation.classification.holdout.StratifiedCrossValidation
initialize(PageHeader) - Method in class elki.persistent.AbstractStoringPageFile: Initialize the page file with the given header - return "true" if the file already existed.
initialize(PageHeader) - Method in class elki.persistent.LRUCache
initialize(PageHeader) - Method in class elki.persistent.OnDiskArrayPageFile
initialize(PageHeader) - Method in interface elki.persistent.PageFile: Initialize the page file with the given header - return "true" if the file already existed.
initialize(PageHeader) - Method in class elki.persistent.PersistentPageFile
initialize(CharSequence, int, int) - Method in class elki.utilities.io.Tokenizer: Initialize parser with a new string.
initializeActiveSet() - Method in class elki.svm.solver.Solver: Initialize the active set.
initializeAlpha() - Method in class elki.svm.solver.Solver: Initialize the alpha values.
initializeBandwidth(double[][]) - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
initializeCapacities(E) - Method in class elki.index.tree.IndexTree: Determines the maximum and minimum number of entries in a node.
initializeCapacities(E) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
initializeCapacities(MkAppEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkCoPEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkMaxEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
initializeCapacities(MkTabEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
initializeCapacities(MTreeEntry) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
initializeCapacities(RdKNNEntry) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
initialized - Variable in class elki.index.tree.IndexTree: True if this index is already initialized.
initializeDataExtends(Relation<NumberVector>, int, double[], double[]) - Method in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: Initialize the uniform sampling area.
initializeDistanceMatrix(ArrayDBIDs, DistanceQuery<?>, Linkage) - Static method in class elki.clustering.hierarchical.AGNES: Initialize a distance matrix.
initializeFromFile(TreeIndexHeader, PageFile<FlatRStarTreeNode>) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class elki.index.tree.IndexTree: Initializes this index from an existing persistent file.
initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Initializes this R*-Tree from an existing persistent file.
initializeGradient() - Method in class elki.svm.solver.Solver
initializeLookupTable(double[][], NumberVector, double) - Method in class elki.index.vafile.VALPNormDistance: Initialize the lookup table.
initializeMatrices(ArrayDBIDs, ArrayModifiableDBIDs, DistanceQuery<O>) - Static method in class elki.clustering.hierarchical.MiniMax: Initializes the inter-cluster distance matrix of possible merges
initializeMeta(Relation<V>, double[][]) - Method in class tutorial.clustering.SameSizeKMeans: Initialize the metadata storage.
initializeNNCache(double[], double[], int[]) - Static method in class elki.clustering.hierarchical.Anderberg.Instance: Initialize the NN cache.
initializeOutputType(SimpleTypeInformation<O>) - Method in class elki.datasource.filter.AbstractVectorConversionFilter: Initialize factory from a data type.
initializeOutputType(SimpleTypeInformation<O>) - Method in class elki.datasource.filter.AbstractVectorStreamConversionFilter: Initialize factory from a data type.
initializeOutputType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
initializeOutputType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
initializePlot() - Method in class elki.visualization.gui.overview.OverviewPlot: Initialize the SVG plot.
initializer - Variable in class elki.clustering.em.BetulaGMM: Maximum number of iterations.
initializer - Variable in class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory.Par: Initialization method
initializer - Variable in class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory.Par: Initialization method
initializer - Variable in class elki.clustering.em.models.BetulaSphericalGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.BetulaSphericalGaussianModelFactory.Par: Initialization method
initializer - Variable in class elki.clustering.em.models.DiagonalGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.MultivariateGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.SphericalGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.TextbookSphericalGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModelFactory: Class to choose the initial means
initializer - Variable in class elki.clustering.kmeans.AbstractKMeans: Method to choose initial means.
initializer - Variable in class elki.clustering.kmeans.AbstractKMeans.Par: Initialization method.
initializer - Variable in class elki.clustering.kmeans.FuzzyCMeans: Produces initial cluster.
initializer - Variable in class elki.clustering.kmeans.FuzzyCMeans.Par: K-Means init for initial cluster centers
initializer - Variable in class elki.clustering.kmedoids.AlternatingKMedoids: Method to choose initial means.
initializer - Variable in class elki.clustering.kmedoids.AlternatingKMedoids.Par: Initialization method.
initializer - Variable in class elki.clustering.kmedoids.PAM: Method to choose initial means.
initializer - Variable in class elki.clustering.kmedoids.PAM.Par: Method to choose initial means.
initializer - Variable in class tutorial.clustering.SameSizeKMeans.Par: Initialization method.
initializeRadii(DBIDs, KNNSearcher<DBIDRef>, DistanceQuery<O>, WritableDoubleDataStore) - Method in class elki.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 elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter: Initialize random attributes.
initializeSearchItemset(BitVector, int[], int[]) - Method in class elki.itemsetmining.APRIORI: Initialize the scratch itemset.
initialMeans - Variable in class elki.clustering.kmeans.initialization.Predefined: Initial means to return.
initialMeans - Variable in class elki.clustering.kmeans.initialization.Predefined.Par: Initial means.
initialMeans(Relation<V>) - Method in class elki.clustering.kmeans.AbstractKMeans: Choose the initial means.
initialMedoids(DistanceQuery<? super O>, DBIDs, int) - Method in class elki.clustering.kmedoids.PAM: Choose the initial medoids.
initialMomentum - Variable in class elki.projection.SNE: Final momentum.
initialMomentum - Variable in class elki.projection.TSNE: Final momentum.
initialPopulation(int) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Produce an initial (random) population.
initialRange(DBIDRef, DBIDs, PrimitiveDistance<? super NumberVector>, double, OUTRES.KernelDensityEstimator, ModifiableDoubleDBIDList) - Method in class elki.outlier.subspace.OUTRES: Initial range query.
initialSeeds(Relation<? extends NumberVector>, int) - Method in class elki.clustering.correlation.ORCLUS: Initializes the list of seeds wit a random sample of size k.
initialSeparation(double[][]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance: Initial separation of means.
initialSeperation(double[][]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Initial separation of means.
initialSet(DBIDs, int, Random) - Method in class elki.clustering.subspace.PROCLUS: Returns a set of k elements from the specified sample set.
initialWeights(double[], double[][]) - Method in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus: Initialize the weight list.
initialWeights(NumberVector) - Method in class elki.clustering.kmeans.initialization.KMC2.Instance: Initialize the weight list.
initialWeights(NumberVector) - Method in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Instance
initialWeights(NumberVector) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Initialize the weight list.
initialWeights(ClusterFeature, List<? extends AsClusterFeature>, double[]) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves: Initialize the weight list.
initialWeights(T) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance: Initialize the weight list.
initKnnDistanceList() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Returns a knn distance list with all distances set to null distance.
initLabels() - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
initLabelsAndModels(ArrayList<GeneratorInterface>, ClassLabel[], Model[], Pattern) - Method in class elki.data.synthetic.bymodel.GeneratorMain: Initialize cluster labels and models.
initMinMaxArrays() - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Init the arrays we use.
initOneDimensionalUnits(Relation<? extends NumberVector>) - Method in class elki.clustering.subspace.CLIQUE: Initializes and returns the one dimensional units.
initStaticOptimizer() - Static method in class elki.database.query.QueryBuilder: Initialization method, which sets QueryBuilder.OPTIMIZER.
initStream(InputStream) - Method in class elki.datasource.parser.AbstractStreamingParser
initStream(InputStream) - Method in class elki.datasource.parser.ClusteringVectorParser
initStream(InputStream) - Method in class elki.datasource.parser.NumberVectorLabelParser
initStream(InputStream) - Method in class elki.datasource.parser.SimpleTransactionParser
initStream(InputStream) - Method in interface elki.datasource.parser.StreamingParser: Init the streaming parser for the given input stream.
initUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkresStern
initUncoveredMinimum() - Method in class elki.utilities.datastructures.KuhnMunkresWong: Initialize values for finding the minima efficiently.
inline - Variable in class elki.result.textwriter.TextWriterStream: Buffer for inline data to output.
inlineCSS() - Method in class elki.visualization.css.CSSClass: Render CSS class to inline formatting
inlineExternal(Document, ParsedURL, Node) - Method in class elki.visualization.batikutil.CloneInlineImages: Inline an external file (usually from temp).
inlinePrint(Object) - Method in class elki.result.textwriter.TextWriterStream: Print data into the inline part of the file.
inlinePrintNoQuotes(Object) - Method in class 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 elki.visualization.batikutil.CloneInlineImages: Inline a referenced thumbnail.
InMemoryIDistanceIndex<O> - Class in 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 elki.index.idistance.InMemoryIDistanceIndex: Constructor.
InMemoryIDistanceIndex.Factory<V> - Class in elki.index.idistance: Index factory for iDistance indexes.
InMemoryIDistanceIndex.IDistanceKNNSearcher - Class in elki.index.idistance: kNN query implementation.
InMemoryIDistanceIndex.IDistanceRangeSearcher - Class in elki.index.idistance: Exact range query implementation.
InMemoryInvertedIndex<V extends NumberVector> - Class in elki.index.invertedlist: Simple index using inverted lists, for cosine distance only.
InMemoryInvertedIndex(Relation<V>) - Constructor for class elki.index.invertedlist.InMemoryInvertedIndex: Constructor.
InMemoryInvertedIndex.ArcCosineKNNQuery - Class in elki.index.invertedlist: kNN query object, for arc cosine distance.
InMemoryInvertedIndex.ArcCosineRangeQuery - Class in elki.index.invertedlist: Range query object, for cosine distance.
InMemoryInvertedIndex.CosineKNNQuery - Class in elki.index.invertedlist: kNN query object, for cosine distance.
InMemoryInvertedIndex.CosineRangeQuery - Class in elki.index.invertedlist: kNN query object, for cosine distance.
InMemoryInvertedIndex.Factory<V extends NumberVector> - Class in elki.index.invertedlist: Index factory
InMemoryLSHIndex<V> - Class in elki.index.lsh: Locality Sensitive Hashing.
InMemoryLSHIndex(LocalitySensitiveHashFunctionFamily<? super V>, int, int) - Constructor for class elki.index.lsh.InMemoryLSHIndex: Constructor.
InMemoryLSHIndex.Instance - Class in elki.index.lsh: Instance of a LSH index for a single relation.
InMemoryLSHIndex.Instance.LSHKNNQuery - Class in elki.index.lsh: Class for handling kNN queries against the LSH index.
InMemoryLSHIndex.Instance.LSHRangeQuery - Class in elki.index.lsh: Class for handling kNN queries against the LSH index.
InMemoryLSHIndex.Par<V> - Class in elki.index.lsh: Parameterization class.
inner - Variable in class elki.clustering.hierarchical.OPTICSToHierarchical: Inner OPTICS clustering algorithm.
inner - Variable in class elki.clustering.hierarchical.OPTICSToHierarchical.Par: Inner OPTICS clustering algorithm.
inner - Variable in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery: Inner distance query
inner - Variable in class elki.clustering.kmedoids.initialization.AlternateRefinement: Inner initialization.
inner - Variable in class elki.clustering.kmedoids.initialization.AlternateRefinement.Par: Inner initialization.
inner - Variable in class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization: Inner k-medoids clustering to use.
inner - Variable in class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization.Par: Clustering algorithm
inner - Variable in class elki.clustering.uncertain.CenterOfMassMetaClustering: The algorithm to be wrapped and run.
inner - Variable in class elki.clustering.uncertain.CenterOfMassMetaClustering.Par: Field to store the algorithm.
inner - Variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier: Inner class for generating uncertain instances.
inner - Variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par: Inner class for generating uncertain instances.
inner - Variable in class elki.database.ids.integer.DoubleIntegerDBIDSubList: Wrapped inner result.
inner - Variable in class elki.database.ids.integer.IntegerDBIDKNNSubList: Wrapped inner result.
inner - Variable in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs: The DBIDs we wrap.
inner - Variable in class elki.database.ids.integer.UnmodifiableIntegerDBIDs: The DBIDs we wrap.
inner - Variable in class elki.database.query.ExactPrioritySearcher: Nested priority searcher
inner - Variable in class elki.database.query.knn.WrappedKNNDBIDByLookup: Inner kNN searcher.
inner - Variable in class elki.database.query.range.WrappedRangeDBIDByLookup: Inner radius searcher.
inner - Variable in class elki.database.query.rknn.WrappedRKNNDBIDByLookup: Inner kNN searcher.
inner - Variable in class elki.database.query.WrappedPrioritySearchDBIDByLookup: Inner kNN searcher.
inner - Variable in class elki.database.relation.ProjectedView: The wrapped representation where we get the IDs from.
inner - Variable in class elki.database.relation.ProxyView: The wrapped representation where we get the IDs from.
inner - Variable in class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor: Class to perform the cluster extraction.
inner - Variable in class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor.Par: Inner algorithm to extract a clustering.
inner - Variable in class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor: Class to perform the cluster extraction.
inner - Variable in class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.Par: Inner algorithm to extract a clustering.
inner - Variable in class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator: Class to perform the cluster extraction.
inner - Variable in class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Par: Inner algorithm to extract a clustering.
inner - Variable in class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator: Class to perform the cluster extraction.
inner - Variable in class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Par: Inner algorithm to extract a clustering.
inner - Variable in class elki.index.projected.ProjectedIndex.Factory: Inner index factory.
inner - Variable in class elki.index.projected.ProjectedIndex: Inner index.
inner - Variable in class elki.index.projected.ProjectedIndex.ProjectedKNNByDBID: Inner kNN query.
inner - Variable in class elki.index.projected.ProjectedIndex.ProjectedKNNByObject: Inner kNN query.
inner - Variable in class elki.index.projected.ProjectedIndex.ProjectedRangeByDBID: Inner range query.
inner - Variable in class elki.index.projected.ProjectedIndex.ProjectedRangeByObject: Inner range query.
inner - Variable in class elki.index.projected.ProjectedIndex.ProjectedRKNNByDBID: Inner RkNN query.
inner - Variable in class elki.index.projected.ProjectedIndex.ProjectedRKNNByObject: Inner RkNN query.
inner - Variable in class elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Distribution estimator to use.
inner - Variable in class elki.math.statistics.distribution.estimator.meta.WinsorizingEstimator: Distribution estimator to use.
inner - Variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory: Inner neighbor set predicate
inner - Variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par: Inner neighbor set predicate
inner - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory: Inner neighbor set predicate
inner - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par: Inner neighbor set predicate
inner - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood: The data store to use
inner - Variable in class elki.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory: The inner predicate factory
inner - Variable in class elki.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter: Actual predicate
inner - Variable in class elki.svm.data.ByteWeightedArrayDataSet
inner - Variable in class elki.svm.data.DoubleWeightedDataSet
inner - Variable in class elki.svm.qmatrix.CachedQMatrix: Wrapped inner matrix
inner - Variable in class elki.svm.qmatrix.SVR_Q
inner - Variable in class elki.utilities.datastructures.iterator.IterableIt: The proxied iterator.
inner - Variable in class elki.utilities.optionhandling.parameterization.MergedParameterization: The parameterization we get the new values from.
inner - Variable in class elki.utilities.optionhandling.parameterization.TrackParameters: Inner parameterization
INNER_ID - Static variable in class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization.Par: Option ID for the nested k-medoids clustering algorithm.
INNER_ID - Static variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par: Class to use for generating the uncertain instances.
inneriter - Variable in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr: Inner iterator.
innerkMeans - Variable in class elki.clustering.kmeans.BestOfMultipleKMeans: Variant of kMeans for the bisecting step.
innerkMeans - Variable in class elki.clustering.kmeans.BisectingKMeans: Variant of kMeans for the bisecting step.
innerkMeans - Variable in class elki.clustering.kmeans.initialization.SampleKMeans: Variant of kMeans to use for initialization.
innerKMeans - Variable in class elki.clustering.kmeans.XMeans: Inner k-means algorithm.
innerScan(HilOut.HilbertFeatures, int, int) - Method in class elki.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
inNone - Variable in class elki.evaluation.clustering.PairCounting: Pairs in neither clusterings.
input - Variable in class elki.application.ConvertToBundleApplication: The data input step.
input - Variable in class elki.application.ConvertToBundleApplication.Par: The data input step.
input - Variable in class elki.datasource.bundle.BundleReader: Input channel.
input - Variable in class elki.gui.multistep.panels.AlgorithmTabPanel: Input step to run on.
input - Variable in class elki.gui.multistep.panels.EvaluationTabPanel: Input step to run on.
input - Variable in class elki.gui.multistep.panels.InputTabPanel: The data input configured
input - Variable in class elki.gui.multistep.panels.OutputTabPanel: Input step to run on.
input - Variable in class elki.outlier.distance.parallel.KNNWeightProcessor: KNN query object
input - Variable in class elki.outlier.distance.parallel.KNNWeightProcessor.Instance: kNN query
input - Variable in class elki.parallel.processor.DoubleMinMaxProcessor: Input channel
input - Variable in class elki.parallel.processor.DoubleMinMaxProcessor.Instance: Input channel instance
input - Variable in class elki.parallel.processor.KDistanceProcessor: KNN query object
input - Variable in class elki.parallel.processor.KDistanceProcessor.Instance: kNN query
input - Variable in class elki.parallel.processor.WriteDataStoreProcessor: Input variable
input - Variable in class elki.parallel.processor.WriteDataStoreProcessor.Instance: Variable to exchange data over
input - Variable in class elki.parallel.processor.WriteDoubleDataStoreProcessor: Shared double variable
input - Variable in class elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance: Shared double variable
input - Variable in class elki.parallel.processor.WriteIntegerDataStoreProcessor: Shared int variable
input - Variable in class elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance: Shared int variable
input - Variable in class elki.utilities.io.Tokenizer: Data currently processed.
INPUT_FILE - elki.utilities.optionhandling.parameters.FileParameter.FileType: Input files (i.e. read only)
INPUT_FILES - elki.utilities.optionhandling.parameters.FileListParameter.FilesType: Input files (i.e. read only)
INPUT_ID - Static variable in class elki.application.AbstractApplication.Par: Parameter that specifies the name of the input file.
INPUT_ID - Static variable in class elki.datasource.ConcatenateFilesDatabaseConnection.Par: Parameter that specifies the name of the input files to be parsed.
INPUT_ID - Static variable in class elki.datasource.FileBasedDatabaseConnection.Par: Parameter that specifies the name of the input file to be parsed.
inputstep - Variable in class elki.application.AbstractDistanceBasedApplication: Data input step
inputstep - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: The data input part.
inputstep - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Data source.
inputstep - Variable in class elki.application.greedyensemble.VisualizePairwiseGainMatrix: The data input part.
inputstep - Variable in class elki.application.greedyensemble.VisualizePairwiseGainMatrix.Par: Data source.
inputStep - Variable in class elki.KDDTask: The data input step
inputStep - Variable in class elki.KDDTask.Par
InputStep - Class in elki.workflow: Data input step of the workflow.
InputStep(Database) - Constructor for class elki.workflow.InputStep: Constructor.
InputStep.Par - Class in elki.workflow: Parameterization class.
InputStreamDatabaseConnection - Class in elki.datasource: Database connection expecting input from an input stream such as stdin.
InputStreamDatabaseConnection(InputStream, List<? extends ObjectFilter>, Parser) - Constructor for class elki.datasource.InputStreamDatabaseConnection: Constructor.
InputStreamDatabaseConnection(Supplier<InputStream>, List<? extends ObjectFilter>, Parser) - Constructor for class elki.datasource.InputStreamDatabaseConnection: Constructor.
InputStreamDatabaseConnection.Par - Class in elki.datasource: Parameterization class.
inputTab - Variable in class elki.gui.multistep.MultiStepGUI: Input panel.
InputTabPanel - Class in elki.gui.multistep.panels: Panel to handle data input.
InputTabPanel() - Constructor for class elki.gui.multistep.panels.InputTabPanel
ins - Variable in class elki.datasource.InputStreamDatabaseConnection: The stream that we are processing.
inSecond - Variable in class elki.evaluation.clustering.PairCounting: Pairs in second clustering only.
insert(double, DBIDRef) - Method in interface elki.database.ids.DoubleDBIDHeap: Add a double-id pair to the heap
insert(double, DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
insert(double, DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
insert(double, DBIDRef) - Method in interface elki.database.ids.KNNHeap: Add a distance-id pair to the heap
insert(double, DBIDRef, int) - Method in interface elki.database.ids.DoubleDBIDHeap: Add a double-id pair to the heap unless the heap grows beyond the given maximum size.
insert(double, DBIDRef, int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
insert(double, DBIDRef, int) - Method in interface elki.database.ids.KNNHeap: Deprecated.
insert(int[], int, int, int) - Method in class elki.itemsetmining.FPGrowth.FPTree: Insert an itemset into the tree.
insert(int, double) - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Insert a value at the given position.
insert(int, int) - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Insert a value at the given position.
insert(int, DBIDRef) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Insert at position i (starting at 0, moving the remainder by one position).
insert(int, DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
insert(CFTree.TreeNode, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CFTree: Recursive insertion.
insert(CFTree.TreeNode, NumberVector) - Method in class elki.clustering.hierarchical.birch.CFTree: Recursive insertion.
insert(NumberVector) - Method in class elki.clustering.hierarchical.birch.CFTree: Insert a data point into the tree.
insert(NumberVector, DBIDRef) - Method in class elki.index.tree.betula.CFTree: Insert a data point into the tree.
insert(DBID, double, int) - Method in class elki.outlier.distance.HilOut.HilFeature: insert function inserts a nearest neighbor into a features nn list and its distance
insert(DBIDRef) - Method in interface elki.index.DynamicIndex: Inserts the specified object into this index.
insert(DBIDRef) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
insert(DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
insert(DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
insert(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Inserts the specified reel vector object into this index.
insert(DBIDRef, Double) - Method in interface elki.database.relation.DoubleRelation: Deprecated.
use DoubleRelation.set(DBIDRef, double) instead.
insert(DBIDRef, Double) - Method in class elki.database.relation.MaterializedDoubleRelation: Deprecated.
insert(DBIDRef, O) - Method in class elki.database.relation.MaterializedRelation
insert(DBIDRef, O) - Method in interface elki.database.relation.ModifiableRelation: Set (or insert) an object representation.
insert(ObjectBundle) - Method in class elki.database.HashmapDatabase
insert(ObjectBundle) - Method in interface elki.database.UpdatableDatabase: Inserts the given object(s) and their associations into the database.
insert(CFNode<L>, NumberVector, DBIDRef) - Method in class elki.index.tree.betula.CFTree: Recursive insertion.
insert(CFNode<L>, AsClusterFeature) - Method in class elki.index.tree.betula.CFTree: Recursive insertion.
insert(MkAppEntry, boolean) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
insert(MkCoPEntry, boolean) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
insert(MkTabEntry, boolean) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
insert(FPGrowth.FPTree, int[], int, int, int) - Method in class elki.itemsetmining.FPGrowth.FPNode: Insert an itemset into the tree.
insert(E, boolean) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Inserts the specified object into this M-Tree.
INSERT - elki.database.DatabaseEventManager.Type
INSERT - elki.index.preprocessed.knn.KNNChangeEvent.Type: Identifies the insertion of new objects.
INSERT_STRATEGY_ID - Static variable in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par: Parameter to specify the insertion strategy to construct the tree.
insertAll(DBIDs) - Method in interface elki.index.DynamicIndex: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
insertAll(DBIDs) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
insertAll(DBIDs) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
insertAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Inserts the specified objects into this index.
insertAll(List<E>) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Bulk insert.
insertAll(List<E>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
insertAll(List<MkAppEntry>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Inserts the specified objects into this MkApp-Tree.
insertAll(List<MkCoPEntry>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
insertEntry(E, int) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Inserts the specified entry at the specified level into this R*-Tree.
insertHandler(Class<?>, H) - Method in class elki.utilities.HandlerList: Insert a handler to the beginning of the stack.
insertIntoGrid(DBIDRef, V, int, int) - Method in class elki.clustering.dbscan.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 elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Par: Fast-insertion parameter.
INSERTION_THRESHOLD - Static variable in class elki.database.ids.integer.IntegerDBIDArrayQuickSort: Threshold for using insertion sort.
INSERTION_THRESHOLD - Static variable in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Threshold for using insertion sort.
INSERTION_THRESHOLD - Static variable in class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Threshold for using insertion sort.
insertionEvent(DBIDs) - Static method in class elki.database.datastore.DataStoreEvent: Insertion event.
insertionSort(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort via insertion sort.
insertionSort(double[], int, int) - Static method in class elki.utilities.datastructures.QuickSelect: Sort a small array using repetitive insertion sort.
insertionSort(int[], int, int, IntComparator) - Static method in class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Insertion sort, for short arrays.
insertionSort(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, DBIDArrayIter, DBIDArrayIter) - Static method in class elki.database.ids.QuickSelectDBIDs: Sort a small array using repetitive insertion sort.
insertionSort(ModifiableDoubleDBIDList, int, int, DoubleDBIDListIter, DoubleDBIDListIter) - Static method in class elki.database.ids.QuickSelectDBIDs: Sort a small array using repetitive insertion sort.
insertionSort(List<T>, Comparator<? super T>, int, int) - Static method in class elki.utilities.datastructures.QuickSelect: Sort a small array using repetitive insertion sort.
insertionSort(T, QuickSelect.Adapter<T>, int, int) - Static method in class elki.utilities.datastructures.QuickSelect: Sort a small array using repetitive insertion sort.
insertionSortReverse(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort via insertion sort.
insertionStrategy - Variable in class elki.index.tree.spatial.rstarvariants.RTreeSettings: The insertion strategy to use.
InsertionStrategy - Interface in elki.index.tree.spatial.rstarvariants.strategies.insert: RTree insertion strategy interface.
insertLeaf(E) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Add a new leaf entry to the tree.
inserts - Variable in class elki.database.datastore.DataStoreEvent: Insertions.
insertStrategy - Variable in class elki.index.tree.metrical.mtreevariants.MTreeSettings: Insertion strategy.
instance - Variable in class elki.utilities.optionhandling.parameters.ObjectParameter: The instance to use.
Instance() - Constructor for class elki.clustering.dbscan.DBSCAN.Instance
Instance() - Constructor for class elki.clustering.hierarchical.MedoidLinkage.Instance: Constructor.
Instance() - Constructor for class elki.clustering.hierarchical.MiniMax.Instance: Constructor.
Instance() - Constructor for class elki.clustering.hierarchical.MiniMaxAnderberg.Instance
Instance() - Constructor for class elki.clustering.hierarchical.MiniMaxNNChain.Instance
Instance() - Constructor for class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance
Instance() - Constructor for class elki.parallel.variables.SharedDouble.Instance
Instance() - Constructor for class elki.parallel.variables.SharedInteger.Instance
Instance() - Constructor for class elki.parallel.variables.SharedObject.Instance
Instance() - Constructor for class elki.timeseries.SigniTrendChangeDetection.Instance: Constructor.
Instance(double, int, double, Relation<? extends UncertainObject>, RandomFactory) - Constructor for class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance: Constructor.
Instance(double, RangeSearcher<DBIDRef>, DBIDs) - Constructor for class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate.Instance: Constructor.
Instance(double, RangeSearcher<DBIDRef>, DBIDs) - Constructor for class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate.Instance: Constructor.
Instance(int) - Constructor for class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Instance: Constructor for this predicate.
Instance(int, KNNSearcher<DBIDRef>, SharedObject.Instance<KNNList>) - Constructor for class elki.parallel.processor.KNNProcessor.Instance: Constructor.
Instance(int, SharedObject.Instance<? extends KNNList>, SharedDouble.Instance) - Constructor for class elki.outlier.distance.parallel.KNNWeightProcessor.Instance: Constructor.
Instance(int, SharedObject.Instance<? extends KNNList>, SharedDouble.Instance) - Constructor for class elki.parallel.processor.KDistanceProcessor.Instance: Constructor.
Instance(FourC.Settings) - Constructor for class elki.clustering.dbscan.predicates.FourCCorePredicate.Instance: Constructor for this predicate.
Instance(NeighborPredicate.Instance<T>, CorePredicate.Instance<? super T>, boolean) - Constructor for class elki.clustering.dbscan.GeneralizedDBSCAN.Instance: Full Constructor
Instance(ClusterMergeHistory) - Constructor for class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance: Constructor.
Instance(ClusterMergeHistory) - Constructor for class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance: Constructor.
Instance(ClusterMergeHistory) - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Instance: Constructor.
Instance(ClusterMergeHistory) - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Instance: Constructor.
Instance(ClusterMergeHistory) - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Constructor.
Instance(ClusterMergeHistory) - Constructor for class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance: Constructor.
Instance(HACAM.Variant) - Constructor for class elki.clustering.hierarchical.HACAM.Instance: Constructor.
Instance(GeometricLinkage) - Constructor for class elki.clustering.hierarchical.LinearMemoryNNChain.Instance: Constructor.
Instance(Linkage) - Constructor for class elki.clustering.hierarchical.AGNES.Instance: Constructor.
Instance(Linkage) - Constructor for class elki.clustering.hierarchical.Anderberg.Instance: Constructor.
Instance(Linkage) - Constructor for class elki.clustering.hierarchical.NNChain.Instance: Constructor.
Instance(PreDeCon.Settings) - Constructor for class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Instance: Constructor for this predicate.
Instance(Database, NeighborPredicate<T>, CorePredicate<? super T>, boolean) - Constructor for class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance: Full Constructor
Instance(DBIDs) - Constructor for class elki.clustering.optics.GeneralizedOPTICS.Instance: Constructor for a single data set.
Instance(DBIDs, DataStore<COPACNeighborPredicate.COPACModel>) - Constructor for class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Instance: Constructor.
Instance(DBIDs, DataStore<PreDeConNeighborPredicate.PreDeConModel>) - Constructor for class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Instance: Constructor.
Instance(DBIDs, DataStore<PreDeConNeighborPredicate.PreDeConModel>) - Constructor for class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Instance: Constructor.
Instance(DBIDs, DataStore<PCAFilteredResult>, Relation<? extends NumberVector>) - Constructor for class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance: Constructor.
Instance(DBIDs, DataStore<M>) - Constructor for class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate.Instance: Constructor.
Instance(DBIDs, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.kmedoids.EagerPAM.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.kmedoids.FasterPAM.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.kmedoids.FastPAM1.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.kmedoids.PAM.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.kmedoids.ReynoldsPAM.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.kmedoids.SingleAssignmentKMedoids.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.silhouette.FasterMSC.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.silhouette.FastMSC.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.silhouette.PAMMEDSIL.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.silhouette.PAMSIL.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore, double) - Constructor for class elki.clustering.kmedoids.FastPAM.Instance: Constructor.
Instance(Relation<? extends NumberVector>) - Constructor for class elki.clustering.correlation.HiCO.Instance: Constructor.
Instance(Relation<? extends NumberVector>) - Constructor for class elki.clustering.subspace.DiSH.Instance: Constructor.
Instance(Relation<? extends NumberVector>) - Constructor for class elki.clustering.subspace.HiSC.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.SphericalKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double[][]) - Constructor for class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, double, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Constructor.
Instance(Relation<? extends NumberVector>, int, double, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.SphericalAFKMC2.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.AbstractKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.AnnulusKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.CompareMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.ElkanKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.ExponionKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.HamerlyKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.HartiganWongKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.KDTreeFilteringKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.KDTreePruningKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.KMeansMinusMinus.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.KMediansLloyd.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.LloydKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.MacQueenKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.ShallotKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.SingleAssignmentKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][]) - Constructor for class elki.clustering.kmeans.SortMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, double[][], int) - Constructor for class elki.clustering.kmeans.YinYangKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, int, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.AFKMC2.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistance<?>, int, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.KMC2.Instance: Constructor.
Instance(Relation<? extends O>, ProjectionParallel, OpenGL3DParallelCoordinates.Settings<O>, StylingPolicy, StyleLibrary) - Constructor for class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Constructor.
Instance(Relation<O>) - Constructor for class elki.clustering.optics.OPTICSHeap.Instance: Constructor for a single data set.
Instance(Relation<O>) - Constructor for class elki.clustering.optics.OPTICSList.Instance: Constructor for a single data set.
Instance(Relation<O>, Distance<? super O>) - Constructor for class elki.distance.AbstractDatabaseDistance.Instance: Constructor.
Instance(Relation<O>, Distance<? super O>, SimilarityQuery<? super O>) - Constructor for class elki.distance.adapter.AbstractSimilarityAdapter.Instance: Constructor.
Instance(Relation<O>, Distance<? super O>, SimilarityQuery<? super O>) - Constructor for class elki.distance.adapter.LinearSimilarityAdapter.Instance: Constructor.
Instance(Relation<O>, Distance<? super O>, SimilarityQuery<O>) - Constructor for class elki.distance.adapter.ArccosSimilarityAdapter.Instance: Constructor.
Instance(Relation<O>, Distance<? super O>, SimilarityQuery<O>) - Constructor for class elki.distance.adapter.LnSimilarityAdapter.Instance: Constructor.
Instance(Relation<O>, SharedNearestNeighborIndex<O>, SharedNearestNeighborSimilarity<? super O>) - Constructor for class elki.similarity.SharedNearestNeighborSimilarity.Instance: Constructor.
Instance(Relation<O>, I) - Constructor for class elki.similarity.AbstractIndexBasedSimilarity.Instance: Constructor.
Instance(Relation<O>, I, F) - Constructor for class elki.distance.AbstractIndexBasedDistance.Instance: Constructor.
Instance(Relation<T>, SharedNearestNeighborIndex<T>, SharedNearestNeighborJaccardDistance<T>) - Constructor for class elki.distance.SharedNearestNeighborJaccardDistance.Instance: Constructor.
Instance(Relation<T>, SharedNearestNeighborIndex<T>, FractionalSharedNearestNeighborSimilarity<? super T>) - Constructor for class elki.similarity.FractionalSharedNearestNeighborSimilarity.Instance: Constructor.
Instance(Relation<V>, NumberVectorDistance<? super V>, WritableIntegerDataStore, double[][]) - Constructor for class elki.clustering.kmeans.parallel.KMeansProcessor.Instance: Constructor.
Instance(Relation<V>, ArrayList<? extends LocalitySensitiveHashFunction<? super V>>, int) - Constructor for class elki.index.lsh.InMemoryLSHIndex.Instance: Constructor.
Instance(Distance<? super V>, double, int, double) - Constructor for class elki.clustering.dbscan.GriDBSCAN.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class elki.outlier.lof.parallel.LOFProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class elki.outlier.lof.parallel.LRDProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class elki.outlier.lof.parallel.SimplifiedLRDProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class elki.parallel.processor.AbstractDoubleProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class elki.parallel.processor.DoubleMinMaxProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance: Constructor.
Instance(SharedInteger.Instance) - Constructor for class elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance: Constructor.
Instance(SharedObject.Instance<T>) - Constructor for class elki.parallel.processor.WriteDataStoreProcessor.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class elki.visualization.visualizers.visunproj.KeyVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.LineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.AxisVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer.Instance: Constructor.
Instance(Random) - Constructor for class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Constructor.
Instance2(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.silhouette.FasterMSC.Instance2: Constructor.
Instance2(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class elki.clustering.silhouette.FastMSC.Instance2: Constructor.
InstanceLogRankNormalization<V extends NumberVector> - Class in 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 elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization: Constructor.
InstanceLogRankNormalization.Par - Class in elki.datasource.filter.normalization.instancewise: Parameterization class.
InstanceMeanVarianceNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Normalize vectors such that they have zero mean and unit variance.
InstanceMeanVarianceNormalization() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization: Constructor.
InstanceMeanVarianceNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Parameterization class.
InstanceMinMaxNormalization<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Normalize vectors with respect to a given minimum and maximum in each dimension.
InstanceMinMaxNormalization() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization: Constructor, normalizing to [0;1]
InstanceMinMaxNormalization(double, double) - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization: Constructor.
InstanceMinMaxNormalization.Par<V extends NumberVector> - Class in elki.datasource.filter.normalization.instancewise: Parameterization class.
InstanceRankNormalization<V extends NumberVector> - Class in 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 elki.datasource.filter.normalization.instancewise.InstanceRankNormalization: Constructor.
InstanceRankNormalization.Par - Class in elki.datasource.filter.normalization.instancewise: Parameterization class.
instances - Variable in class elki.outlier.density.HySortOD.Hypercube: Holds a set of instances within the hypercube.
instances - Variable in class elki.utilities.optionhandling.parameters.ObjectListParameter: Cache for the generated instances.
INSTANTIABLE - elki.application.internal.CheckParameterizables.State
instantiate() - Method in class elki.parallel.variables.SharedDouble
instantiate() - Method in class elki.parallel.variables.SharedInteger
instantiate() - Method in class elki.parallel.variables.SharedObject
instantiate() - Method in interface elki.parallel.variables.SharedVariable: Instantiate for an execution thread.
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate
instantiate(Database) - Method in interface elki.clustering.dbscan.predicates.CorePredicate: Instantiate for a database.
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.FourCCorePredicate
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.MinPtsCorePredicate
instantiate(Database) - Method in interface elki.clustering.dbscan.predicates.NeighborPredicate: Instantiate for a database.
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.PreDeConCorePredicate
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate
instantiate(Database) - Method in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate
instantiate(Database) - Method in class elki.clustering.uncertain.FDBSCANNeighborPredicate
instantiate(Database, Relation<?>) - Method in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in interface elki.outlier.spatial.neighborhood.NeighborSetPredicate.Factory: Instantiation method.
instantiate(Database, Relation<? extends O>) - Method in class elki.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in class elki.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory
instantiate(Database, Relation<? extends O>) - Method in interface elki.outlier.spatial.neighborhood.weighted.WeightedNeighborSetPredicate.Factory: Instantiation method.
instantiate(Relation<? extends NumberVector>) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate: Full instantiation method.
instantiate(Relation<? extends NumberVector>) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate: Full instantiation interface.
instantiate(Relation<NumberVector>) - Method in class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.distance.AbstractDBIDRangeDistance
instantiate(Relation<O>) - Method in class elki.distance.external.FileBasedSparseDoubleDistance
instantiate(Relation<O>) - Method in class elki.distance.external.FileBasedSparseFloatDistance
instantiate(Relation<O>) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.Factory
instantiate(Relation<O>) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix.Factory
instantiate(Relation<O>) - Method in class elki.index.laesa.LAESA.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.NNDescent.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in interface elki.index.preprocessed.snn.SharedNearestNeighborIndex.Factory: Instantiate the index for a given database.
instantiate(Relation<O>) - Method in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
instantiate(Relation<O>) - Method in class elki.index.projected.LatLngAsECEFIndex.Factory
instantiate(Relation<O>) - Method in class elki.index.projected.LngLatAsECEFIndex.Factory
instantiate(Relation<O>) - Method in class elki.index.projected.ProjectedIndex.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.covertree.CoverTree.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.vptree.GNAT.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.metrical.vptree.VPTree.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.kd.MemoryKDTree.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory
instantiate(Relation<O>) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory
instantiate(Relation<T>) - Method in class elki.distance.adapter.AbstractSimilarityAdapter
instantiate(Relation<T>) - Method in class elki.distance.adapter.ArccosSimilarityAdapter
instantiate(Relation<T>) - Method in class elki.distance.adapter.LinearSimilarityAdapter
instantiate(Relation<T>) - Method in class elki.distance.adapter.LnSimilarityAdapter
instantiate(Relation<T>) - Method in interface elki.distance.Distance: Instantiate with a database to get the actual distance query.
instantiate(Relation<T>) - Method in interface elki.distance.PrimitiveDistance
instantiate(Relation<T>) - Method in class elki.distance.probabilistic.HellingerDistance
instantiate(Relation<T>) - Method in class elki.distance.RandomStableDistance
instantiate(Relation<T>) - Method in class elki.distance.set.JaccardSimilarityDistance
instantiate(Relation<T>) - Method in class elki.distance.SharedNearestNeighborJaccardDistance
instantiate(Relation<T>) - Method in interface elki.distance.SpatialPrimitiveDistance
instantiate(Relation<T>) - Method in class elki.distance.subspace.SubspaceLPNormDistance
instantiate(Relation<T>) - Method in class elki.similarity.AbstractIndexBasedSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.cluster.ClusteringBCubedF1Similarity
instantiate(Relation<T>) - Method in interface elki.similarity.cluster.ClusteringDistanceSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.cluster.ClusteringRandIndexSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.cluster.ClusterJaccardSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.FractionalSharedNearestNeighborSimilarity
instantiate(Relation<T>) - Method in interface elki.similarity.IndexBasedSimilarity: Preprocess the database to get the actual distance function.
instantiate(Relation<T>) - Method in class elki.similarity.kernel.PolynomialKernel
instantiate(Relation<T>) - Method in class elki.similarity.Kulczynski1Similarity
instantiate(Relation<T>) - Method in interface elki.similarity.PrimitiveSimilarity
instantiate(Relation<T>) - Method in class elki.similarity.SharedNearestNeighborSimilarity
instantiate(Relation<T>) - Method in interface elki.similarity.Similarity: Instantiate with a representation to get the actual similarity query.
instantiate(Relation<V>) - Method in class elki.index.idistance.InMemoryIDistanceIndex.Factory
instantiate(Relation<V>) - Method in interface elki.index.IndexFactory: Sets the database in the distance function of this index (if existing).
instantiate(Relation<V>) - Method in class elki.index.invertedlist.InMemoryInvertedIndex.Factory
instantiate(Relation<V>) - Method in class elki.index.lsh.InMemoryLSHIndex
instantiate(Relation<V>) - Method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory
instantiate(Relation<V>) - Method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory
instantiate(Relation<V>) - Method in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory
instantiate(Relation<V>) - Method in class elki.index.vafile.PartialVAFile.Factory
instantiate(Relation<V>) - Method in class elki.index.vafile.VAFile.Factory
instantiate(Executor) - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance
instantiate(Executor) - Method in class elki.clustering.kmeans.parallel.KMeansProcessor
instantiate(Executor) - Method in class elki.outlier.distance.parallel.KNNWeightProcessor
instantiate(Executor) - Method in class elki.outlier.lof.parallel.LOFProcessor
instantiate(Executor) - Method in class elki.outlier.lof.parallel.LRDProcessor
instantiate(Executor) - Method in class elki.outlier.lof.parallel.SimplifiedLRDProcessor
instantiate(Executor) - Method in class elki.parallel.processor.AbstractDoubleProcessor
instantiate(Executor) - Method in class elki.parallel.processor.DoubleMinMaxProcessor
instantiate(Executor) - Method in class elki.parallel.processor.KDistanceProcessor
instantiate(Executor) - Method in class elki.parallel.processor.KNNProcessor
instantiate(Executor) - Method in interface elki.parallel.processor.Processor: Create an instance.
instantiate(Executor) - Method in class elki.parallel.processor.WriteDataStoreProcessor
instantiate(Executor) - Method in class elki.parallel.processor.WriteDoubleDataStoreProcessor
instantiate(Executor) - Method in class elki.parallel.processor.WriteIntegerDataStoreProcessor
instantiateClass(Parameterization) - Method in class 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 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 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 elki.utilities.optionhandling.parameters.ObjectListParameter
instantiateLowlevel(Class<? extends T>) - Static method in class elki.utilities.ClassGenericsUtil: Instantiate the first available implementation of an interface.
instantiateVisualization(VisualizationTask) - Method in class elki.visualization.gui.detail.DetailView: Instantiate a visualization.
instream - Variable in class elki.datasource.InputStreamDatabaseConnection.Par: Input stream.
INT_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil: Static instance.
INT0 - Static variable in class elki.data.SparseIntegerVector: Constant value, for use in (inefficient) SparseIntegerVector.getValue(int) API.
IntDoublePair - Class in elki.utilities.pairs: Pair storing an integer and a double.
IntDoublePair(int, double) - Constructor for class elki.utilities.pairs.IntDoublePair: Constructor
INTEGER - Static variable in class elki.data.type.TypeUtil: Integer type.
INTEGER_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect: Adapter for integer arrays.
INTEGER_ARRAY - Static variable in class elki.data.type.TypeUtil: Integer array objects.
INTEGER_NULL - Static variable in class elki.distance.set.AbstractSetDistance: Constants for checking null.
IntegerArray - Class in elki.utilities.datastructures.arraylike: Array of int values (primitive, avoiding the boxing overhead of ArrayList).
IntegerArray() - Constructor for class elki.utilities.datastructures.arraylike.IntegerArray: Constructor.
IntegerArray(int) - Constructor for class elki.utilities.datastructures.arraylike.IntegerArray: Constructor.
IntegerArray(IntegerArray) - Constructor for class elki.utilities.datastructures.arraylike.IntegerArray: Constructor from an existing array.
IntegerArrayDBIDs - Interface in elki.database.ids.integer: Trivial combination interface.
IntegerArrayQuickSort - Class in elki.utilities.datastructures.arrays: Class to sort an int array, using a modified quicksort.
IntegerArrayQuickSort() - Constructor for class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Private constructor.
IntegerArrayStaticDBIDs - Interface in elki.database.ids.integer: Combination of ArrayStaticDBIDs and IntegerDBIDs.
IntegerDataStore - Interface in elki.database.datastore: Integer-valued data store (avoids boxing/unboxing).
IntegerDBID - Class in elki.database.ids.integer: Database ID object.
IntegerDBID(int) - Constructor for class elki.database.ids.integer.IntegerDBID: Constructor from integer id.
IntegerDBID(Integer) - Constructor for class elki.database.ids.integer.IntegerDBID: Constructor from integer id.
IntegerDBID.DynamicSerializer - Class in elki.database.ids.integer: Dynamic sized serializer, using varint.
IntegerDBID.Itr - Class in elki.database.ids.integer: Pseudo iterator for DBIDs interface.
IntegerDBID.StaticSerializer - Class in elki.database.ids.integer: Static sized serializer, using regular integers.
IntegerDBIDArrayIter - Interface in elki.database.ids.integer: Modifiable integer array iterator.
IntegerDBIDArrayMIter - Interface in elki.database.ids.integer: Modifiable integer array iterator.
IntegerDBIDArrayQuickSort - Class in elki.database.ids.integer: Class to sort an integer DBID array, using a modified quicksort.
IntegerDBIDArrayQuickSort() - Constructor for class elki.database.ids.integer.IntegerDBIDArrayQuickSort: Private constructor.
IntegerDBIDIter - Interface in elki.database.ids.integer: Iterator for integer DBIDs.
IntegerDBIDKNNSubList - Class in elki.database.ids.integer: Sublist of an existing result to contain only the first k elements.
IntegerDBIDKNNSubList(DoubleIntegerDBIDKNNList, int) - Constructor for class elki.database.ids.integer.IntegerDBIDKNNSubList: Constructor.
IntegerDBIDKNNSubList.Itr - Class in elki.database.ids.integer: Iterator for the sublist.
IntegerDBIDMIter - Interface in elki.database.ids.integer: Modifiable iterator interface for integer DBIDs.
IntegerDBIDPair - Class in elki.database.ids.integer: DBID pair using two ints for storage.
IntegerDBIDPair(int, int) - Constructor for class elki.database.ids.integer.IntegerDBIDPair: Initialize pair
IntegerDBIDPair.Itr - Class in elki.database.ids.integer: Iterator.
IntegerDBIDPair.Slice - Class in elki.database.ids.integer: Slice of an array.
IntegerDBIDPair.Slice.SliceItr - Class in elki.database.ids.integer: Iterator class.
IntegerDBIDRange - Class in elki.database.ids.integer: Representing a DBID range allocation.
IntegerDBIDRange(int, int) - Constructor for class elki.database.ids.integer.IntegerDBIDRange: Constructor.
IntegerDBIDRange.Itr - Class in elki.database.ids.integer: Iterator in ELKI/C++ style.
IntegerDBIDRef - Interface in elki.database.ids.integer: DBID reference that references an integer value.
IntegerDBIDs - Interface in elki.database.ids.integer: Integer DBID collection.
IntegerDBIDVar - Class in elki.database.ids.integer: Variable for storing a single DBID reference.
IntegerDBIDVar() - Constructor for class elki.database.ids.integer.IntegerDBIDVar: Constructor.
IntegerDBIDVar(DBIDRef) - Constructor for class elki.database.ids.integer.IntegerDBIDVar: Constructor.
IntegerDBIDVar.Itr - Class in elki.database.ids.integer: Pseudo iterator for DBIDs interface.
integerDigits(double) - Method in class elki.math.linearalgebra.LinearEquationSystem: Returns the integer digits of the specified double value.
IntegerHeap - Interface in elki.utilities.datastructures.heap: Basic in-memory heap for int values.
IntegerHeap.UnsortedIter - Interface in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerMaxHeap - Class in elki.utilities.datastructures.heap: Binary heap for primitive types.
IntegerMaxHeap() - Constructor for class elki.utilities.datastructures.heap.IntegerMaxHeap: Constructor, with default size.
IntegerMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.IntegerMaxHeap: Constructor, with given minimum size.
IntegerMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerMinHeap - Class in elki.utilities.datastructures.heap: Binary heap for primitive types.
IntegerMinHeap() - Constructor for class elki.utilities.datastructures.heap.IntegerMinHeap: Constructor, with default size.
IntegerMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.IntegerMinHeap: Constructor, with given minimum size.
IntegerMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerMinMax - Class in elki.math: Class to find the minimum and maximum int values in data.
IntegerMinMax() - Constructor for class elki.math.IntegerMinMax: Constructor without starting values.
IntegerMinMax(int, int) - Constructor for class elki.math.IntegerMinMax: Constructor with predefined minimum and maximum values.
IntegerObjectHeap<V> - Interface in elki.utilities.datastructures.heap: Basic in-memory heap interface, for int keys and Object values.
IntegerObjectHeap.UnsortedIter<V> - Interface in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerObjectMaxHeap<V> - Class in elki.utilities.datastructures.heap: Binary heap for int keys and Object values.
IntegerObjectMaxHeap() - Constructor for class elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Constructor, with default size.
IntegerObjectMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Constructor, with given minimum size.
IntegerObjectMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerObjectMinHeap<V> - Class in elki.utilities.datastructures.heap: Binary heap for int keys and Object values.
IntegerObjectMinHeap() - Constructor for class elki.utilities.datastructures.heap.IntegerObjectMinHeap: Constructor, with default size.
IntegerObjectMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.IntegerObjectMinHeap: Constructor, with given minimum size.
IntegerObjectMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerRankTieNormalization - Class in elki.datasource.filter.normalization.columnwise: Normalize vectors according to their rank in the attributes.
IntegerRankTieNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization: Constructor.
IntegerRankTieNormalization.Sorter - Class in elki.datasource.filter.normalization.columnwise: Class to sort an index array by a particular dimension.
IntegerSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.IntegerSerializer: Constructor.
IntegerVector - Class in elki.data: Vector type using int[] storage.
IntegerVector(int[]) - Constructor for class elki.data.IntegerVector: Create an IntegerVector consisting of the given integer values.
IntegerVector(int[], boolean) - Constructor for class elki.data.IntegerVector: Private constructor.
IntegerVector.Factory - Class in elki.data: Factory for integer vectors.
IntegerVector.Factory.Par - Class in elki.data: Parameterization class.
IntegerVector.ShortSerializer - Class in elki.data: Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
IntegerVector.SmallSerializer - Class in elki.data: Serialization class for dense integer vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
IntegerVector.VariableSerializer - Class in elki.data: Serialization class for variable dimensionality by using VarInt encoding.
integrityCheck(AbstractMTree<O, N, E, ?>, E) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeNode: Tests this node (for debugging purposes).
integrityCheck(AbstractRStarTree<N, E, ?>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Tests this node (public for debugging purposes).
integrityCheckParameters(MkAppEntry, MkAppTreeNode<O>, int, AbstractMTree<O, MkAppTreeNode<O>, MkAppEntry, ?>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
integrityCheckParameters(MkCoPEntry, MkCoPTreeNode<O>, int, AbstractMTree<O, MkCoPTreeNode<O>, MkCoPEntry, ?>) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
integrityCheckParameters(MkMaxEntry, MkMaxTreeNode<O>, int, AbstractMTree<O, MkMaxTreeNode<O>, MkMaxEntry, ?>) - Method in class 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 elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(DeLiCluNode, int) - Method in class 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 elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(E, N, int, AbstractMTree<O, N, E, ?>) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTreeNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(N, int) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Tests, if the parameters of the entry representing this node, are correctly set.
intensities - Variable in class elki.visualization.style.ClusterStylingPolicy: Maps an ID to its best assignment value.
IntensityTransform() - Constructor for enum elki.visualization.style.ClusterStylingPolicy.IntensityTransform
InterclusterWeight - Class in elki.clustering.kmeans.initialization.betula: Initialization via n2 * D2²(cf1, cf2), which supposedly is closes to the idea of k-means++ initialization.
InterclusterWeight() - Constructor for class elki.clustering.kmeans.initialization.betula.InterclusterWeight
interestingness - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration: Interestingness measure to be used.
InterestingnessMeasure - Interface in elki.itemsetmining.associationrules.interest: Interface for interestingness measures.
interestMeasure - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par: Parameter for interestingness measure.
INTERESTMEASURE_ID - Static variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par: Parameter to specify the interestingness measure to be used.
interleaveBits(byte[], int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
interleaveBits(int[], int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
interleaveBits(long[], int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
interleaveBits(short[], int) - Static method in class elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
INTERNAL_HEADER_SIZE - Static variable in class elki.persistent.OnDiskArray: Size of the classes header size.
INTERNAL_MIME_TYPE - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry: Mime type
INTERNAL_PREFIX - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry: ELKI internal thumbnail protocol prefix
INTERNAL_PROTOCOL - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry: ELKI internal thumbnail protocol id.
internalGetIndex() - Method in interface elki.database.ids.DBIDRef: Internal only: Get the internal index.
internalGetIndex() - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
internalGetIndex() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
internalGetIndex() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
internalGetIndex() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
internalGetIndex() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap.UnorderedIter
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDPair
internalGetIndex() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
internalGetIndex() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBID: Return the integer value of the object ID.
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBID.Itr
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBIDPair.Itr
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBIDRange.Itr
internalGetIndex() - Method in interface elki.database.ids.integer.IntegerDBIDRef: Return the integer value of the object ID.
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBIDVar
internalGetIndex() - Method in class elki.database.ids.integer.IntegerDBIDVar.Itr
internalGetIndex() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
internalGetIndex() - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
internalGetIndex() - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher
internalGetIndex() - Method in class elki.database.query.distance.LinearScanPrioritySearcher
internalGetIndex() - Method in class elki.database.query.ExactPrioritySearcher
internalGetIndex() - Method in class elki.database.query.WrappedPrioritySearchDBIDByLookup
internalGetIndex() - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher
internalGetIndex() - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
internalGetIndex() - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
internalGetIndex() - Method in class elki.index.vafile.VectorApproximation
internalIntersection(DBIDs, DBIDs) - Static method in class elki.database.ids.DBIDUtil: Compute the set intersection of two sets.
internalIntersectionSize(DBIDs, DBIDs) - Static method in class elki.database.ids.DBIDUtil: Compute the set intersection size of two sets.
InternalParsedURLData(String) - Constructor for class elki.visualization.batikutil.ThumbnailRegistryEntry.InternalParsedURLData: Constructor.
internalSetIndex(int) - Method in class elki.database.ids.integer.IntegerDBIDVar: Internal set to integer.
interpol - Variable in class elki.visualization.style.marker.CircleMarkers: Color interpolation style
interpol - Variable in class elki.visualization.style.marker.MinimalMarkers: Color interpolation style
interpol - Variable in class elki.visualization.style.marker.PrettyMarkers: Color interpolation style
interpolate(String, String, double) - Method in enum elki.visualization.style.ColorInterpolation: Interpolate two colors.
intersect(double, double, double, double) - Static method in class elki.index.tree.metrical.vptree.GNAT: check intersection of 2 intervals
intersect(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Test whether two Bitsets intersect.
intersect(long, long) - Static method in class elki.utilities.datastructures.BitsUtil: Test whether two Bitsets intersect.
intersect(BitVector) - Method in class elki.data.BitVector: Compute whether two vectors intersect.
intersection(SpatialComparable, SpatialComparable) - Static method in class 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 elki.database.ids.DBIDUtil: Compute the set intersection of two sets.
intersectionMatrix(int[][], ArrayList<int[]>, ArrayList<int[]>, int) - Method in class elki.math.statistics.dependence.MaximumConditionalEntropy: Intersect the two 1d grid decompositions, to obtain a 2d matrix.
intersectionSize(int[], int[]) - Method in class elki.math.statistics.dependence.MaximumConditionalEntropy: Compute the intersection of two sorted integer lists.
intersectionSize(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Compute the intersection size of two Bitsets.
intersectionSize(long, long) - Static method in class elki.utilities.datastructures.BitsUtil: Compute the intersection size of two Bitsets.
intersectionSize(BitVector) - Method in class elki.data.BitVector: Compute the vector intersection size.
intersectionSize(DBIDs, DBIDs) - Static method in class elki.database.ids.DBIDUtil: Compute the set intersection size of two sets.
intersects(SpatialComparable, SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil: Returns true if the two SpatialComparables intersect, false otherwise.
intersects2DIncomplete(Polygon) - Method in class elki.data.spatial.Polygon: Simple polygon intersection test.
intervalID - Variable in class elki.clustering.correlation.cash.CASHInterval: Holds the unique id of this interval.
IntGenerator - Interface in elki.utilities.datastructures.range: Generators of integer ranges.
IntGeneratorParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying ranges of integer values.
IntGeneratorParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.IntGeneratorParameter: Constructs an integer list parameter
IntIntPair - Class in elki.utilities.pairs: Pair storing two integers.
IntIntPair(int, int) - Constructor for class elki.utilities.pairs.IntIntPair: Constructor
IntListParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a list of integer values.
IntListParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.IntListParameter: Constructs an integer list parameter
IntOpenHashSet() - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet: Constructor.
IntOpenHashSet(int) - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet: Constructor.
intp - Variable in class elki.distance.minkowski.LPIntegerNormDistance: Integer value of p.
IntParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying an integer value.
IntParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.IntParameter: Constructs an integer parameter with the given optionID.
IntParameter(OptionID, int) - Constructor for class elki.utilities.optionhandling.parameters.IntParameter: Constructs an integer parameter with the given optionID.
IntrinsicDimensionalityEstimator<O> - Interface in elki.math.statistics.intrinsicdimensionality: Estimate the intrinsic dimensionality from a distance list.
IntrinsicNearestNeighborAffinityMatrixBuilder<O> - Class in elki.projection: Build sparse affinity matrix using the nearest neighbors only, adjusting for intrinsic dimensionality.
IntrinsicNearestNeighborAffinityMatrixBuilder(Distance<? super O>, double, DistanceBasedIntrinsicDimensionalityEstimator) - Constructor for class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder: Constructor.
IntrinsicNearestNeighborAffinityMatrixBuilder.Par<O> - Class in elki.projection: Parameterization class.
inttrans - Variable in class elki.visualization.style.ClusterStylingPolicy: Intensity transformation
intValue() - Method in class elki.data.Bit
intValue() - Method in class elki.parallel.variables.SharedInteger.Instance: Get the variables value.
intValue() - Method in class elki.utilities.optionhandling.parameters.IntParameter: Get the parameter value as integer
intValue(int) - Method in class elki.data.IntegerVector
intValue(int) - Method in interface elki.data.NumberVector: Returns the value in the specified dimension as int.
intValue(int) - Method in class elki.data.SparseIntegerVector: Deprecated.
intValue(int) - Method in interface 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 elki.database.datastore.IntegerDataStore: Retrieves a value from the storage.
intValue(DBIDRef) - Method in class elki.database.datastore.memory.ArrayIntegerStore
intValue(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
inv - Variable in class elki.math.linearalgebra.AffineTransformation: the inverse transformation
invalid - Variable in class elki.database.ids.integer.AbstractIntegerDBIDFactory: Invalid ID.
invalid() - Method in interface elki.database.ids.DBIDFactory: Get the invalid DBID value, usable as "undefined" placeholder.
invalid() - Static method in class elki.database.ids.DBIDUtil: Get the invalid special ID.
invalid() - Method in class elki.database.ids.integer.AbstractIntegerDBIDFactory
INVALID_EXPONENT - Static variable in class elki.utilities.io.ParseUtil: Preallocated exceptions.
InvalidCSS(String) - Constructor for exception elki.visualization.css.CSSClass.InvalidCSS: Constructor.
invbase - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution: Inverse of base, for faster division by multiplication.
invC - Variable in class elki.svm.qmatrix.R2_Qq
inverse - Variable in class elki.math.statistics.distribution.HaltonUniformDistribution: Integer inverse
inverse() - Method in class elki.math.linearalgebra.LUDecomposition: Find the inverse matrix.
inverse() - Method in class elki.math.linearalgebra.QRDecomposition: Find the inverse matrix.
inverse(double) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution: Compute the inverse with respect to the given base.
inverse(double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix inverse or pseudoinverse
inverseDensities - Variable in class elki.clustering.optics.FastOPTICS: Inverse Densities correspond to average distances in point set of projections
InverseDocumentFrequencyNormalization<V extends SparseNumberVector> - Class in elki.datasource.filter.normalization.columnwise: Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).
InverseDocumentFrequencyNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: Constructor.
InverseGaussianDistribution - Class in elki.math.statistics.distribution: Inverse Gaussian distribution aka Wald distribution.
InverseGaussianDistribution(double, double) - Constructor for class elki.math.statistics.distribution.InverseGaussianDistribution: Constructor for Inverse Gaussian / Wald distribution.
InverseGaussianDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
InverseGaussianMLEstimator - Class in elki.math.statistics.distribution.estimator: Estimate parameter of the inverse Gaussian (Wald) distribution.
InverseGaussianMLEstimator() - Constructor for class elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator
InverseGaussianMLEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
InverseGaussianMOMEstimator - Class in elki.math.statistics.distribution.estimator: Estimate parameter of the inverse Gaussian (Wald) distribution.
InverseGaussianMOMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator
InverseGaussianMOMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
InverseLinearWeight - Class in elki.math.linearalgebra.pca.weightfunctions: Inverse linear weight function using \(.1+0.9\frac{\text{distance}}{\max}\).
InverseLinearWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.InverseLinearWeight
InverseProportionalStddevWeight - Class in elki.math.linearalgebra.pca.weightfunctions: Inverse proportional weight function, scaled using the standard deviation using: \( 1 / (1 + \frac{distance}{\sigma}) \)
InverseProportionalStddevWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.InverseProportionalStddevWeight
InverseProportionalWeight - Class in elki.math.linearalgebra.pca.weightfunctions: Inverse proportional weight function, scaled using the maximum using: \( 1 / (1 + \frac{\text{distance}}{\max} ) \)
InverseProportionalWeight() - Constructor for class elki.math.linearalgebra.pca.weightfunctions.InverseProportionalWeight
inversePurity() - Method in class elki.evaluation.clustering.SetMatchingPurity: Get the set matchings inverse purity (second:first clustering) (normalized, 1 = equal)
invert - Variable in class elki.outlier.GaussianModel: Invert the result
invert - Variable in class elki.outlier.GaussianModel.Par: Invert the output range.
INVERT - elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Mode
INVERT - elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Mode
INVERT - elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Mode
INVERT - elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Mode
INVERT_ID - Static variable in class elki.outlier.GaussianModel.Par: OptionID for inversion flag.
inverted - Variable in class elki.datasource.filter.selection.ByLabelFilter: Inversion flag
inverted - Variable in class elki.datasource.filter.selection.ByLabelFilter.Par: Inversion flag
inverted - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore: Inversion flag.
inverted - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: Inversion flag.
inverted - Variable in class elki.utilities.scaling.outlier.COPOutlierScaling: Inversion flag.
inverted - Variable in class elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling: Use inverted ranking
inverted - Variable in class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling: Use inverted ranking
INVERTED_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: Flag parameter for inverted scores.
INVERTEDAXIS - Static variable in class elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance: Clickable area for the axis.
InvertedDistanceSimilarity<O> - Class in elki.similarity: Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.
InvertedDistanceSimilarity() - Constructor for class elki.similarity.InvertedDistanceSimilarity
InvertedOutlierScoreMeta - Class in elki.result.outlier: Class to signal a value-inverted outlier score, i.e. low values are outliers.
InvertedOutlierScoreMeta(double, double) - Constructor for class elki.result.outlier.InvertedOutlierScoreMeta: Constructor with actual range only.
InvertedOutlierScoreMeta(double, double, double, double) - Constructor for class elki.result.outlier.InvertedOutlierScoreMeta: Constructor with range values.
InvertedOutlierScoreMeta(double, double, double, double, double) - Constructor for class elki.result.outlier.InvertedOutlierScoreMeta: Constructor with all values.
invertedRows - Variable in class elki.data.model.BiclusterWithInversionsModel: The ids of inverted rows.
invertI(long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Invert v in-place.
invertRow(int, boolean) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate
invf - Variable in class elki.math.geodesy.AbstractEarthModel: Model parameters: flattening, inverse flattening.
invgrayC(long) - Static method in class elki.utilities.datastructures.BitsUtil: Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...
invgrayI(long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...
invLogExpansion - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: Logarithm base.
invokeBundleFilters(MultipleObjectsBundle) - Method in class 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 elki.visualization.svg.UpdateRunner: Add a new update to run at any appropriate time.
invokeStreamFilters(BundleStreamSource) - Method in class elki.datasource.AbstractDatabaseConnection: Transforms the specified list of objects and their labels into a list of objects and their associations.
invokeTextWriter() - Method in class elki.visualization.gui.ResultWindow: Save/export the current plot.
invp - Variable in class elki.distance.minkowski.LPNormDistance: p parameter and its inverse.
invp - Variable in class elki.distance.minkowski.SparseLPNormDistance: Parameter and its inverse.
INVSCALE - Static variable in interface elki.visualization.projections.Projection: Inverse scaling constant.
ipiPow - Variable in class elki.clustering.em.KDTreeEM: Gaussian scaling factor for likelihood.
ipowi(int, int) - Static method in class elki.math.MathUtil: Fast loop for computing pow(x, p) for p >= 0 integer and x integer.
irow - Variable in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Row and column bitmasks.
is_free(int) - Method in class elki.svm.solver.Solver
is_lower_bound(int) - Method in class elki.svm.solver.Solver
is_upper_bound(int) - Method in class elki.svm.solver.Solver
isAngularDistance(AbstractMaterializeKNNPreprocessor<?>) - Static method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization: Test whether the given preprocessor used an angular distance function
isAssignableFrom(Object) - Method in class elki.data.type.AlternativeTypeInformation
isAssignableFrom(Object) - Method in class elki.data.type.CombinedTypeInformation
isAssignableFrom(Object) - Method in class elki.data.type.SimpleTypeInformation
isAssignableFrom(Object) - Method in interface elki.data.type.TypeInformation: Test whether this type is assignable from a given object instance.
isAssignableFrom(Object) - Method in class elki.data.type.VectorTypeInformation
isAssignableFromType(TypeInformation) - Method in class elki.data.type.AlternativeTypeInformation
isAssignableFromType(TypeInformation) - Method in class elki.data.type.CombinedTypeInformation
isAssignableFromType(TypeInformation) - Method in class elki.data.type.SimpleTypeInformation
isAssignableFromType(TypeInformation) - Method in interface elki.data.type.TypeInformation: Test whether this type is assignable from another type.
isAssignableFromType(TypeInformation) - Method in class elki.data.type.VectorFieldTypeInformation
isAssignableFromType(TypeInformation) - Method in class elki.data.type.VectorTypeInformation
isAssigned() - Method in class elki.clustering.subspace.clique.CLIQUEUnit: Returns true if this unit is already assigned to a cluster.
isAxisInverted(int) - Method in interface elki.visualization.projections.ProjectionParallel: Get inversion flag of axis.
isAxisInverted(int) - Method in class elki.visualization.projections.SimpleParallel
isAxisVisible(int) - Method in interface elki.visualization.projections.ProjectionParallel: Test whether the current axis is visible
isAxisVisible(int) - Method in class elki.visualization.projections.SimpleParallel
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.AkaikeInformationCriterion
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.AkaikeInformationCriterionXMeans
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.BayesianInformationCriterion
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.BayesianInformationCriterionXMeans
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.BayesianInformationCriterionZhao
isBetter(double, double) - Method in interface elki.clustering.kmeans.quality.KMeansQualityMeasure: Compare two scores.
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.WithinClusterMeanDistance
isBetter(double, double) - Method in class elki.clustering.kmeans.quality.WithinClusterVariance
isCellEditable(int, int) - Method in class elki.gui.util.ParametersModel
isCellEditable(int, int) - Method in class elki.visualization.gui.SelectionTableWindow.DatabaseTableModel
isChecked() - Method in class elki.visualization.svg.SVGCheckbox: Return the checkmark status.
isClockwise(List<double[]>) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle: Verify that the triangle is clockwise
isCompatible(Distance<?>) - Method in class elki.index.lsh.hashfamilies.CosineHashFunctionFamily
isCompatible(Distance<?>) - Method in class elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily
isCompatible(Distance<?>) - Method in interface elki.index.lsh.hashfamilies.LocalitySensitiveHashFunctionFamily: Check whether the given distance function can be accelerated using this hash family.
isCompatible(Distance<?>) - Method in class elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily
isCompatibleURL(ParsedURL) - Method in class elki.visualization.batikutil.ThumbnailRegistryEntry
isCompatibleURLStatic(ParsedURL) - Static method in class elki.visualization.batikutil.ThumbnailRegistryEntry: Test for a compatible URL.
isComplete() - Method in class elki.gui.multistep.panels.ParameterTabPanel: Test if this tab is complete
isComplete() - Method in class elki.logging.progress.FiniteProgress: Test whether the progress was completed.
isComplete() - Method in class elki.logging.progress.IndefiniteProgress: Return whether the progress is complete
isComplete() - Method in class elki.logging.progress.MutableProgress
isComplete() - Method in interface elki.logging.progress.Progress: Test whether a progress is complete (and thus doesn't need to be shown anymore)
isConnected(int, int) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Test if two components are connected.
isConnected(DBIDRef, DBIDRef) - Method in interface elki.utilities.datastructures.unionfind.UnionFind: Test if two components are connected.
isConnected(DBIDRef, DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
isConnected(DBIDRef, DBIDRef) - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
isConvex(double[], double[], double[]) - Method in class elki.math.geometry.GrahamScanConvexHull2D: Simple convexity test.
isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class elki.clustering.dbscan.predicates.FourCCorePredicate.Instance
isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Instance
isCorePoint(DBIDRef, DBIDs) - Method in class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Instance
isCorePoint(DBIDRef, T) - Method in interface elki.clustering.dbscan.predicates.CorePredicate.Instance: Decide whether the point is a core point, based on its neighborhood.
isDebugging() - Method in class elki.logging.Logging: Test whether to log 'debug' at 'FINE' level.
isDebuggingFine() - Method in class elki.logging.Logging: Test whether to log 'debug' at 'FINE' level This is the same as Logging.isDebugging()
isDebuggingFiner() - Method in class elki.logging.Logging: Test whether to log 'debug' at 'FINER' level
isDebuggingFinest() - Method in class elki.logging.Logging: Test whether to log 'debug' at 'FINEST' level
isDefined() - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
isDefined() - Method in interface elki.utilities.optionhandling.parameters.Parameter: Returns true if the value of the option is defined, false otherwise.
isDimHidden(int) - Method in class elki.visualization.projections.SimpleParallel
isDimInverted(int) - Method in interface elki.visualization.projections.ProjectionParallel: Get inversion flag of dimension.
isDimInverted(int) - Method in class elki.visualization.projections.SimpleParallel
isDirty() - Method in class elki.persistent.AbstractExternalizablePage: Returns true if this page is dirty, false otherwise.
isDirty() - Method in interface elki.persistent.Page: Returns true if this page is dirty, false otherwise.
isDisabled(String) - Method in class elki.application.greedyensemble.ComputeKNNOutlierScores: Test if a given algorithm is disabled.
isEmpty() - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel
isEmpty() - Method in interface elki.database.ids.DBIDs: Test for an empty DBID collection.
isEmpty() - Method in interface elki.database.ids.DoubleDBIDHeap: Test if the heap is empty.
isEmpty() - Method in class elki.database.ids.EmptyDBIDs
isEmpty() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
isEmpty() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
isEmpty() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
isEmpty() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
isEmpty() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList
isEmpty() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
isEmpty() - Method in class elki.database.ids.integer.IntegerDBID
isEmpty() - Method in class elki.database.ids.integer.IntegerDBIDPair
isEmpty() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice
isEmpty() - Method in class elki.database.ids.integer.IntegerDBIDVar
isEmpty() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
isEmpty() - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs
isEmpty() - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Test if the array is empty.
isEmpty() - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Test if the array is empty.
isEmpty() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
isEmpty() - Method in interface elki.utilities.datastructures.heap.DoubleHeap: Is the heap empty?
isEmpty() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap: Is the heap empty?
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
isEmpty() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap: Is the heap empty?
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
isEmpty() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap: Is the heap empty?
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.Heap: Test for emptiness.
isEmpty() - Method in interface elki.utilities.datastructures.heap.IntegerHeap: Is the heap empty?
isEmpty() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
isEmpty() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap: Is the heap empty?
isEmpty() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
isEmpty() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
isEmpty() - Method in interface elki.utilities.datastructures.heap.ObjectHeap: Is the heap empty?
isEmpty() - Method in class elki.utilities.io.Tokenizer: Test for empty tokens; usually at end of line.
isEmpty() - Method in class elki.visualization.svg.UpdateRunner: Check whether the queue is empty.
isExpandable - Variable in class elki.clustering.optics.DeLiClu.SpatialObjectPair: Indicates whether this pair is expandable or not.
isFalse() - Method in class elki.utilities.optionhandling.parameters.Flag: Shorthand for isDefined() && getValue() == false
isFarther(double[], double[], double[], double[]) - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans.Instance: Check if a cluster mean is farther than another.
isFinite(double) - Static method in class elki.visualization.svg.SVGHyperCube: Finite (and not NaN) double values.
isFullRank() - Method in class elki.math.linearalgebra.QRDecomposition: Is the matrix full rank?
isImmediate(HySortOD.Hypercube, HySortOD.Hypercube) - Method in class elki.outlier.density.HySortOD.DensityStrategy: Validate if Hypercube hk is immediate neighbor of Hypercube hi.
isInDrawingBounds(double, double) - Method in class elki.math.geometry.XYCurve: Checks if a point is inside the drawing bounds of this curve
isInfo() - Method in class elki.logging.Logging: Test whether to log 'info' aka 'verbose'.
isLabelColumn(int) - Method in class elki.datasource.parser.NumberVectorLabelParser: Test if the current column is marked as label column.
isLeaf - Variable in class elki.index.tree.AbstractNode: Indicates whether this node is a leaf node.
isLeaf() - Method in class elki.index.tree.AbstractNode
isLeaf() - Method in interface elki.index.tree.Node: Returns true if this node is a leaf node, false otherwise.
isLeft(double[], double[], double[]) - Method in class elki.math.geometry.GrahamScanConvexHull2D: Test whether a point is left of the other wrt. the origin.
isLocalMaximum(double, DBIDs, WritableDoubleDataStore) - Method in class elki.clustering.dbscan.LSDBC: Test if a point is a local density maximum.
isLoggable(Level) - Method in class elki.logging.Logging: Verify if logging is enabled at that particular level.
isMetric() - Method in class elki.distance.AbstractIndexBasedDistance
isMetric() - Method in class elki.distance.ArcCosineDistance
isMetric() - Method in class elki.distance.CanberraDistance
isMetric() - Method in interface elki.distance.Distance: Is this distance function metric (satisfy the triangle inequality)
isMetric() - Method in class elki.distance.geo.DimensionSelectingLatLngDistance
isMetric() - Method in class elki.distance.geo.LatLngDistance
isMetric() - Method in class elki.distance.geo.LngLatDistance
isMetric() - Method in class elki.distance.histogram.HistogramMatchDistance
isMetric() - Method in class elki.distance.MahalanobisDistance
isMetric() - Method in class elki.distance.minkowski.EuclideanDistance
isMetric() - Method in class elki.distance.minkowski.LPNormDistance
isMetric() - Method in class elki.distance.minkowski.ManhattanDistance
isMetric() - Method in class elki.distance.minkowski.MaximumDistance
isMetric() - Method in class elki.distance.minkowski.MinimumDistance
isMetric() - Method in class elki.distance.minkowski.SparseLPNormDistance
isMetric() - Method in class elki.distance.minkowski.SparseSquaredEuclideanDistance
isMetric() - Method in class elki.distance.probabilistic.ChiDistance
isMetric() - Method in class elki.distance.probabilistic.FisherRaoDistance
isMetric() - Method in class elki.distance.probabilistic.HellingerDistance
isMetric() - Method in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance
isMetric() - Method in class elki.distance.probabilistic.TriangularDistance
isMetric() - Method in class elki.distance.set.HammingDistance
isMetric() - Method in class elki.distance.set.JaccardSimilarityDistance
isMetric() - Method in class elki.distance.SqrtCosineDistance
isMetric() - Method in class elki.distance.SqrtCosineUnitlengthDistance
isMetric() - Method in class elki.distance.strings.LevenshteinDistance
isMetric() - Method in class elki.distance.subspace.SubspaceLPNormDistance
isMetric() - Method in class elki.distance.WeightedCanberraDistance
isMetric() - Method in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity
isMetric() - Method in class elki.similarity.cluster.ClusteringBCubedF1Similarity
isMetric() - Method in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity
isMetric() - Method in class elki.similarity.cluster.ClusteringRandIndexSimilarity
isMetric() - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity
isMetric() - Method in class elki.similarity.cluster.ClusterJaccardSimilarity
isMetric() - Method in class elki.similarity.kernel.PolynomialKernel
isNoise() - Method in class elki.data.Cluster: Getter for noise flag.
isNone() - Method in class 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 elki.math.linearalgebra.LUDecomposition: Is the matrix nonsingular?
isNotSpurious(int) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster: Test if a cluster is spurious.
isNull(Object) - Static method in class elki.distance.set.AbstractSetDistance: Test a value for null.
IsolationForest - Class in elki.outlier.density: Isolation-Based Anomaly Detection.
IsolationForest(int, int, RandomFactory) - Constructor for class elki.outlier.density.IsolationForest: Constructor.
IsolationForest.ForestBuilder - Class in elki.outlier.density: Class to build the forest
IsolationForest.Node - Class in elki.outlier.density: Minimalistic tree node for the isolation forest.
IsolationForest.Par - Class in elki.outlier.density: Parameterization class
isolationScore(IsolationForest.Node, NumberVector) - Method in class elki.outlier.density.IsolationForest: Search a vector in the tree, return depth (path length)
isOptional() - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
isOptional() - Method in interface elki.utilities.optionhandling.parameters.Parameter: Checks if this parameter is an optional parameter.
ISOS<O> - Class in elki.outlier.intrinsic: Intrinsic Stochastic Outlier Selection.
ISOS(Distance<? super O>, int, DistanceBasedIntrinsicDimensionalityEstimator) - Constructor for class elki.outlier.intrinsic.ISOS: Constructor.
isParent(ERiCNeighborPredicate.Instance, Cluster<CorrelationModel>, It<Cluster<CorrelationModel>>) - Method in class elki.clustering.correlation.ERiC: Returns true, if the specified parent cluster is a parent of one child of the children clusters.
isParent(Relation<? extends NumberVector>, Cluster<SubspaceModel>, It<Cluster<SubspaceModel>>, int) - Method in class elki.clustering.subspace.DiSH: Returns true, if the specified parent cluster is a parent of one child of the children clusters.
isProspective(HySortOD.Hypercube, HySortOD.Hypercube, int) - Method in class elki.outlier.density.HySortOD.DensityStrategy: Validate if Hypercube hk is immediate neighbor of Hypercube hi using a the same coordinate.
isQuote(int) - Method in class elki.utilities.io.Tokenizer: Detect quote characters.
isQuoted() - Method in class elki.utilities.io.Tokenizer: Test if the current string was quoted.
isReferenceResult(Clustering<?>) - Method in class elki.evaluation.clustering.EvaluateClustering: Test if a clustering result is a valid reference result.
isRoot(N) - Method in class elki.index.tree.IndexTree: Test if a given ID is the root.
isSelected(Segment) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Test whether a segment is selected.
isSet() - Method in interface elki.database.ids.DBIDVar: Test if the variable is well-defined.
isSet() - Method in class elki.database.ids.integer.IntegerDBIDVar
isSoft() - Method in class elki.clustering.em.BetulaGMM
isSolvable() - Method in class elki.math.linearalgebra.LinearEquationSystem: Checks if a solved system is solvable.
isSolvable(int) - Method in class elki.math.linearalgebra.LinearEquationSystem: Checks solvability of this linear equation system with the chosen method.
isSolved() - Method in class elki.math.linearalgebra.LinearEquationSystem: Tests if system has already been tested for solvability.
isSorted(PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher, int, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
isSorted(T, int, int) - Method in interface elki.utilities.datastructures.QuickSelect.Adapter: Notification callback that an array is completely sorted.
isspd - Variable in class elki.math.linearalgebra.CholeskyDecomposition: Symmetric and positive definite flag.
isSPD() - Method in class elki.math.linearalgebra.CholeskyDecomposition: Is the matrix symmetric and positive definite?
isSpurious(int) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Test if a cluster is spurious.
isSpurious(HDBSCANHierarchyExtraction.TempCluster, boolean) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Spurious, also for non-materialized clusters.
isSquared - Variable in class elki.clustering.hierarchical.ClusterMergeHistory: Flag to indicate squared values
isSquared - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Flag to indicate squared distances.
isSquared - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance: Indicates whether the distance function is squared.
isSquared() - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Indicate whether the stored values are squared values.
isSquared() - Method in class elki.distance.correlation.SquaredPearsonCorrelationDistance
isSquared() - Method in class elki.distance.correlation.SquaredUncenteredCorrelationDistance
isSquared() - Method in class elki.distance.CosineDistance
isSquared() - Method in class elki.distance.CosineUnitlengthDistance
isSquared() - Method in interface elki.distance.Distance: Squared distances, that would become metric after square root.
isSquared() - Method in class elki.distance.MahalanobisDistance
isSquared() - Method in class elki.distance.MatrixWeightedQuadraticDistance
isSquared() - Method in class elki.distance.minkowski.SparseSquaredEuclideanDistance
isSquared() - Method in class elki.distance.minkowski.SquaredEuclideanDistance
isSquared() - Method in class elki.distance.minkowski.WeightedSquaredEuclideanDistance
isSquared() - Method in class elki.distance.probabilistic.ChiDistance
isSquared() - Method in class elki.distance.probabilistic.ChiSquaredDistance
isSquared() - Method in class elki.distance.probabilistic.JeffreyDivergenceDistance
isSquared() - Method in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance
isSquared() - Method in class elki.distance.probabilistic.TriangularDiscriminationDistance
isSquared() - Method in class elki.distance.probabilistic.TriangularDistance
isSquared() - Method in class elki.distance.SqrtCosineDistance
isSquared() - Method in class elki.distance.SqrtCosineUnitlengthDistance
isStarted() - Method in class elki.visualization.svg.SVGPath: Test whether the path drawing has already started.
isStatistics() - Method in class elki.logging.Logging: Test whether to log 'statistics'.
isStrictPartitioning() - Method in class elki.evaluation.clustering.ClusterContingencyTable: Check whether the marginal cluster sizes both sum to the total size.
isSubspace(Subspace) - Method in class elki.data.Subspace: Returns true if this subspace is a subspace of the specified subspace, i.e.
issuedQueries - Variable in class elki.index.vafile.PartialVAFile.Statistics
isSuperset(P3C.Signature) - Method in class elki.clustering.subspace.P3C.Signature: Test whether this is a superset of the other signature.
isSymmetric() - Method in class elki.distance.AbstractIndexBasedDistance
isSymmetric() - Method in class elki.distance.adapter.AbstractSimilarityAdapter
isSymmetric() - Method in interface elki.distance.Distance: Is this function symmetric?
isSymmetric() - Method in class elki.distance.probabilistic.HellingerDistance
isSymmetric() - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceAsymmetricDistance
isSymmetric() - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistance
isSymmetric() - Method in class elki.distance.set.JaccardSimilarityDistance
isSymmetric() - Method in class elki.similarity.AbstractIndexBasedSimilarity
isSymmetric() - Method in interface elki.similarity.cluster.ClusteringDistanceSimilarity
isSymmetric() - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity
isSymmetric() - Method in class elki.similarity.cluster.ClusterJaccardSimilarity
isSymmetric() - Method in class elki.similarity.kernel.PolynomialKernel
isSymmetric() - Method in class elki.similarity.Kulczynski1Similarity
isSymmetric() - Method in interface elki.similarity.Similarity: Is this function symmetric?
isTestAgainstModel() - Method in class elki.data.synthetic.bymodel.GeneratorMain: Return value of the GeneratorMain.testAgainstModel flag.
isTool() - Method in class elki.visualization.VisualizationTask: Get the "tool" flag of the visualizer.
isTrue() - Method in class elki.utilities.optionhandling.parameters.Flag: Shorthand for isDefined() && getValue() == true
isUnpaired() - Method in class elki.evaluation.clustering.pairsegments.Segment: Checks if the segment has a cluster with unpaired objects.
isValid() - Method in class elki.math.DoubleMinMax: Test whether the result is defined.
isValid() - Method in class elki.math.IntegerMinMax: Test whether the result is defined.
isValid(Object) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
isValid(Object) - Method in interface elki.utilities.optionhandling.parameters.Parameter: Checks if the given argument is valid for this option.
isVerbose() - Method in class elki.logging.Logging: Test whether to log 'verbose' aka 'info'.
isVeryVerbose() - Method in class elki.logging.Logging: Test whether to log 'veryverbose'.
isVisible() - Method in class elki.visualization.VisualizationTask: Get the visibility flag.
isWritable() - Method in class elki.persistent.OnDiskArray: Check if the file is writable.
isZero(long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Test for the bitstring to be all-zero.
it - Variable in class elki.database.ids.integer.DoubleIntegerDBIDHeap.UnorderedIter: Iterator of the real heap.
it - Variable in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter: Iterator of the real heap.
it - Variable in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr: Current position.
it - Variable in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr: The actual iterator.
it - Variable in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr: Wrapped iterator.
it - Variable in class elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter: Wrapped iterator.
it - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: Iterator for mapping.
it - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedKNNQuery: Iterator for mapping.
it - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedRangeQuery: Iterator for mapping.
it - Variable in class elki.utilities.datastructures.iterator.ConcatIt: Current iterator.
it - Variable in class elki.utilities.datastructures.iterator.FilteredIt: Iterator in primary hierarchy.
it - Variable in class elki.utilities.datastructures.iterator.SubtypeIt: Iterator in primary hierarchy.
it - Variable in class elki.visualization.gui.overview.DetailViewSelectedEvent: Plot item selected
It<O> - Interface in elki.utilities.datastructures.iterator: Object iterator interface.
it1 - Variable in class elki.utilities.datastructures.hierarchy.StackedIter: Iterator in primary hierarchy.
it2 - Variable in class elki.utilities.datastructures.hierarchy.StackedIter: Iterator in secondary hierarchy.
item - Variable in class elki.itemsetmining.OneItemset: Trivial item.
item - Variable in class elki.visualization.gui.detail.DetailView: Meta information on the visualizers contained.
itemIterator() - Method in class elki.visualization.gui.overview.PlotItem: Iterate (recursively) over all plot items, including itself.
items - Variable in class elki.itemsetmining.DenseItemset: Items, as a bitmask.
items - Variable in class elki.itemsetmining.SmallDenseItemset: Items, as a bitmask.
Itemset - Class in elki.itemsetmining: Frequent itemset.
Itemset() - Constructor for class elki.itemsetmining.Itemset
itemsets - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher: Itemsets to search.
itemsets - Variable in class elki.result.FrequentItemsetsResult: The supports of all frequent itemsets.
ItemsetSearcher(List<Itemset>) - Constructor for class elki.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher: Constructor.
iter - Variable in class elki.clustering.biclustering.AbstractBiclustering: Iterator to use for more efficient random access.
iter - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: Iterator into the k-d-tree entries.
iter - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Iterator.
iter - Variable in class elki.database.query.distance.LinearScanPrioritySearcher: Iterator.
iter - Variable in class elki.database.relation.RelationUtil.RelationObjectIterator: The real iterator.
iter - Variable in class elki.evaluation.scores.adapter.DistanceResultAdapter: Original iterator
iter - Variable in class elki.evaluation.scores.adapter.OutlierScoreAdapter: Original iterator.
iter - Variable in class elki.evaluation.scores.adapter.SimpleAdapter: Original Iterator
iter - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher: Search iterator.
iter - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher: Search iterator.
iter - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher: Search iterator.
iter - Variable in class elki.outlier.density.IsolationForest.ForestBuilder: Iterator into candidates
iter - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Iterator to reference data positions.
iter() - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel
iter() - Method in class elki.clustering.optics.ClusterOrder: Get an iterator.
iter() - Method in class elki.data.BitVector
iter() - Method in interface elki.data.SparseFeatureVector: Iterator over non-zero features only, ascending.
iter() - Method in interface elki.data.SparseNumberVector: Iterator over non-zero features only, ascendingly.
iter() - Method in class elki.data.spatial.Polygon: Get an iterator to the double[] contents.
iter() - Method in interface elki.database.ids.ArrayDBIDs: Iterable
iter() - Method in interface elki.database.ids.ArrayModifiableDBIDs
iter() - Method in interface elki.database.ids.DBIDs: Get a DBID iterator (a more efficient API).
iter() - Method in interface elki.database.ids.DoubleDBIDList
iter() - Method in class elki.database.ids.EmptyDBIDs
iter() - Method in interface elki.database.ids.HashSetModifiableDBIDs
iter() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
iter() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
iter() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs
iter() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
iter() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
iter() - Method in interface elki.database.ids.integer.DoubleIntegerDBIDList
iter() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList
iter() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
iter() - Method in interface elki.database.ids.integer.IntegerArrayDBIDs
iter() - Method in interface elki.database.ids.integer.IntegerArrayStaticDBIDs
iter() - Method in class elki.database.ids.integer.IntegerDBID
iter() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
iter() - Method in class elki.database.ids.integer.IntegerDBIDPair
iter() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice
iter() - Method in class elki.database.ids.integer.IntegerDBIDRange
iter() - Method in interface elki.database.ids.integer.IntegerDBIDs
iter() - Method in class elki.database.ids.integer.IntegerDBIDVar
iter() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
iter() - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs
iter() - Method in interface elki.database.ids.ModifiableDBIDs: Get a modifiable DBID iterator (a more efficient API).
iter() - Method in interface elki.database.ids.ModifiableDoubleDBIDList
iter() - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iter() - Method in class elki.itemsetmining.DenseItemset
iter() - Method in class elki.itemsetmining.Itemset: Get an iterator over items, usually the position within an array.
iter() - Method in class elki.itemsetmining.OneItemset
iter() - Method in class elki.itemsetmining.SmallDenseItemset
iter() - Method in class elki.itemsetmining.SparseItemset
iter() - Method in class elki.svm.data.SimilarityQueryAdapter
iter() - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
iter() - Method in class elki.utilities.datastructures.histogram.AbstractStaticHistogram: Get an iterator over all histogram bins.
iter() - Method in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram
iter() - Method in class elki.utilities.datastructures.histogram.DoubleHistogram
iter() - Method in interface elki.utilities.datastructures.histogram.Histogram: Get an iterator over all histogram bins.
iter() - Method in class elki.utilities.datastructures.histogram.ObjHistogram
iter(int) - Method in interface elki.projection.AffinityMatrix: Iterator over non-zero features only.
iter(int) - Method in class elki.projection.DenseAffinityMatrix
iter(int) - Method in class elki.projection.SparseAffinityMatrix
Iter - Interface in elki.utilities.datastructures.iterator: Iterator interface for more than one return value.
Iter() - Constructor for class elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
Iter() - Constructor for class elki.utilities.datastructures.histogram.DoubleHistogram.Iter
Iter() - Constructor for class elki.utilities.datastructures.histogram.ObjHistogram.Iter
ITER_ID - Static variable in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par: Number of iterations.
IterableIt<O> - Class in elki.utilities.datastructures.iterator: ELKI style Iterator wrapper for collections.
IterableIt(Iterable<O>) - Constructor for class elki.utilities.datastructures.iterator.IterableIt: Constructor.
IterableResult<O> - Interface in elki.result: Interface of an "iterable" result (e.g., a list, table) that can be printed one-by-one.
iterAdvance(int) - Method in class elki.data.BitVector
iterAdvance(int) - Method in interface elki.data.SparseFeatureVector: Advance the iterator to the next position.
iterAdvance(int) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iterAdvance(int) - Method in class elki.itemsetmining.DenseItemset
iterAdvance(int) - Method in class elki.itemsetmining.Itemset: Advance the iterator to the next position.
iterAdvance(int) - Method in class elki.itemsetmining.OneItemset
iterAdvance(int) - Method in class elki.itemsetmining.SmallDenseItemset
iterAdvance(int) - Method in class elki.itemsetmining.SparseItemset
iterAdvance(int, int) - Method in interface elki.projection.AffinityMatrix: Advance the iterator to the next position.
iterAdvance(int, int) - Method in class elki.projection.DenseAffinityMatrix
iterAdvance(int, int) - Method in class elki.projection.SparseAffinityMatrix
iterAll() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterAll() - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over all members.
iterAncestors() - Method in class elki.result.Metadata.Hierarchy: Iterate over all ancestors.
iterAncestors(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterAncestors(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate ancestors (recursive parents)
iterAncestorsSelf() - Method in class elki.result.Metadata.Hierarchy: Iterate over all ancestors and the object itself.
iterAncestorsSelf(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterAncestorsSelf(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate ancestors (recursive parents) and self.
iterate() - Method in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Perform an iteration of the approximation loop.
iterate(int) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Main loop function.
iterate(int) - Method in class elki.clustering.kmeans.CompareMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.HamerlyKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.KMeansMinusMinus.Instance
iterate(int) - Method in class elki.clustering.kmeans.KMediansLloyd.Instance
iterate(int) - Method in class elki.clustering.kmeans.LloydKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.MacQueenKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.SingleAssignmentKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans.Instance
iterate(int) - Method in class elki.clustering.kmeans.YinYangKMeans.Instance
iterateClass(int) - Method in interface elki.visualization.style.ClassStylingPolicy: Iterate over all objects from a given class.
iterateClass(int) - Method in class elki.visualization.style.ClusterStylingPolicy
iterateClass(int) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
iterations - Variable in class elki.index.preprocessed.knn.NNDescent.Factory: maximum number of iterations
iterations - Variable in class elki.index.preprocessed.knn.NNDescent: maximum number of iterations
iterations - Variable in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder: Number of iterations to perform
iterations - Variable in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par: Number of iterations to perform
iterations - Variable in class elki.projection.SNE: Number of iterations.
iterations - Variable in class elki.projection.TSNE: Number of iterations.
iterator() - Method in class elki.clustering.optics.OPTICSXi.SteepAreaResult
iterator() - Method in class elki.data.spatial.Polygon
iterator() - Method in class elki.database.relation.RelationUtil.CollectionFromRelation
iterator() - Method in class elki.evaluation.clustering.pairsegments.Segments
iterator() - Method in class elki.gui.util.SavedSettingsFile
iterator() - Method in class elki.math.geometry.XYCurve: Get an iterator for the curve.
iterator() - Method in class elki.math.geometry.XYPlot.Curve: Get an iterator for the curve.
iterator() - Method in class elki.math.geometry.XYPlot
iterator() - Method in class elki.result.CollectionResult: Implementation of the IterableResult interface, using the backing collection.
iterator() - Method in class elki.result.EvaluationResult
iterator() - Method in class elki.result.EvaluationResult.MeasurementGroup
iterator() - Method in interface elki.result.IterableResult: Retrieve an iterator for the result.
iterByteValue(int) - Method in class elki.data.SparseByteVector
iterByteValue(int) - Method in interface elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterChildren() - Method in class elki.result.Metadata.Hierarchy: Iterate over children.
iterChildren(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterChildren(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) children.
iterChildrenReverse() - Method in class elki.result.Metadata.Hierarchy: Iterate over children, backwards.
iterChildrenReverse(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterChildrenReverse(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) children in reverse order.
iterDBIDs() - Method in class elki.database.relation.ConvertToStringView
iterDBIDs() - Method in class elki.database.relation.DBIDView
iterDBIDs() - Method in class elki.database.relation.MaterializedDoubleRelation
iterDBIDs() - Method in class elki.database.relation.MaterializedRelation
iterDBIDs() - Method in class elki.database.relation.ProjectedView
iterDBIDs() - Method in class elki.database.relation.ProxyView
iterDBIDs() - Method in interface elki.database.relation.Relation: Get an iterator access to the DBIDs.
iterDBIDs() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.CountingRelation
iterDBIDs() - Method in interface elki.projection.AffinityMatrix: Array iterator over the stored objects.
iterDBIDs() - Method in class elki.projection.DenseAffinityMatrix
iterDBIDs() - Method in class elki.projection.SparseAffinityMatrix
iterDBIDs(COPACNeighborPredicate.COPACModel) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Instance
iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Instance
iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Instance
iterDBIDs(DBIDs) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance
iterDBIDs(DBIDs) - Method in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance
iterDBIDs(DoubleDBIDList) - Method in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate.Instance
iterDBIDs(DoubleDBIDList) - Method in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate.Instance
iterDBIDs(T) - Method in interface elki.clustering.dbscan.predicates.NeighborPredicate.Instance: Add the neighbors to a DBID set
iterDescendants() - Method in class elki.result.Metadata.Hierarchy: Iterate over all descendants.
iterDescendants(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterDescendants(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate descendants (recursive children)
iterDescendantsSelf() - Method in class elki.result.Metadata.Hierarchy: Iterate over all descendants and the object itself.
iterDescendantsSelf(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterDescendantsSelf(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate descendants (recursive children) and self.
iterDim(int) - Method in class elki.data.BitVector
iterDim(int) - Method in class elki.data.SparseByteVector
iterDim(int) - Method in class elki.data.SparseDoubleVector
iterDim(int) - Method in interface elki.data.SparseFeatureVector: Get the dimension an iterator points to.
iterDim(int) - Method in class elki.data.SparseFloatVector
iterDim(int) - Method in class elki.data.SparseIntegerVector
iterDim(int) - Method in class elki.data.SparseShortVector
iterDim(int) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iterDim(int) - Method in class elki.itemsetmining.DenseItemset
iterDim(int) - Method in class elki.itemsetmining.Itemset: Item at the iterator position.
iterDim(int) - Method in class elki.itemsetmining.OneItemset
iterDim(int) - Method in class elki.itemsetmining.SmallDenseItemset
iterDim(int) - Method in class elki.itemsetmining.SparseItemset
iterDim(int, int) - Method in interface elki.projection.AffinityMatrix: Get the dimension an iterator points to.
iterDim(int, int) - Method in class elki.projection.DenseAffinityMatrix
iterDim(int, int) - Method in class elki.projection.SparseAffinityMatrix
iterDoubleValue(int) - Method in class elki.data.BitVector
iterDoubleValue(int) - Method in class elki.data.SparseByteVector
iterDoubleValue(int) - Method in class elki.data.SparseDoubleVector
iterDoubleValue(int) - Method in class elki.data.SparseFloatVector
iterDoubleValue(int) - Method in class elki.data.SparseIntegerVector
iterDoubleValue(int) - Method in interface elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterDoubleValue(int) - Method in class elki.data.SparseShortVector
iterFloatValue(int) - Method in class elki.data.SparseFloatVector
iterFloatValue(int) - Method in interface elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterIntValue(int) - Method in class elki.data.SparseIntegerVector
iterIntValue(int) - Method in interface elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterLongValue(int) - Method in class elki.data.BitVector
iterLongValue(int) - Method in class elki.data.SparseByteVector
iterLongValue(int) - Method in class elki.data.SparseDoubleVector
iterLongValue(int) - Method in class elki.data.SparseFloatVector
iterLongValue(int) - Method in class elki.data.SparseIntegerVector
iterLongValue(int) - Method in interface elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterLongValue(int) - Method in class elki.data.SparseShortVector
iterParents() - Method in class elki.result.Metadata.Hierarchy: Iterate over parents.
iterParents(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterParents(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) parents.
iterParentsReverse() - Method in class elki.result.Metadata.Hierarchy: Iterate over parents, backwards.
iterParentsReverse(O) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterParentsReverse(O) - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) parents in reverse order.
iterRetract(int) - Method in class elki.data.BitVector
iterRetract(int) - Method in interface elki.data.SparseFeatureVector: Retract the iterator to the next position.
iterShortValue(int) - Method in interface elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterShortValue(int) - Method in class elki.data.SparseShortVector
iterToplevelClusters() - Method in class elki.data.Clustering: Iterate over the top level clusters.
iterValid(int) - Method in class elki.data.BitVector
iterValid(int) - Method in class elki.data.SparseByteVector
iterValid(int) - Method in class elki.data.SparseDoubleVector
iterValid(int) - Method in interface elki.data.SparseFeatureVector: Test the iterator position for validity.
iterValid(int) - Method in class elki.data.SparseFloatVector
iterValid(int) - Method in class elki.data.SparseIntegerVector
iterValid(int) - Method in class elki.data.SparseShortVector
iterValid(int) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iterValid(int) - Method in class elki.itemsetmining.DenseItemset
iterValid(int) - Method in class elki.itemsetmining.Itemset: Check if the iterator position is valid.
iterValid(int) - Method in class elki.itemsetmining.OneItemset
iterValid(int) - Method in class elki.itemsetmining.SmallDenseItemset
iterValid(int) - Method in class elki.itemsetmining.SparseItemset
iterValid(int, int) - Method in interface elki.projection.AffinityMatrix: Test the iterator position for validity.
iterValid(int, int) - Method in class elki.projection.DenseAffinityMatrix
iterValid(int, int) - Method in class elki.projection.SparseAffinityMatrix
iterValue(int, int) - Method in interface elki.projection.AffinityMatrix: Get the value an iterator points to.
iterValue(int, int) - Method in class elki.projection.DenseAffinityMatrix
iterValue(int, int) - Method in class elki.projection.SparseAffinityMatrix
ItmItr(PlotItem) - Constructor for class elki.visualization.gui.overview.PlotItem.ItmItr: Constructor.
Itr() - Constructor for class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
Itr() - Constructor for class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
Itr() - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr: Constructor.
Itr() - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
Itr() - Constructor for class elki.database.ids.integer.IntegerDBID.Itr
Itr() - Constructor for class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
Itr() - Constructor for class elki.database.ids.integer.IntegerDBIDVar.Itr
Itr() - Constructor for class elki.math.geometry.XYCurve.Itr
Itr() - Constructor for class elki.math.geometry.XYPlot.Curve.Itr
Itr(int, int) - Constructor for class elki.database.ids.integer.IntegerDBIDPair.Itr: Constructor.
Itr(int, int) - Constructor for class elki.database.ids.integer.IntegerDBIDRange.Itr: Constructor.
Itr(IntegerDBIDArrayIter) - Constructor for class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr: Constructor.
Itr(IntIterator) - Constructor for class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr: Constructor.
ItrAll() - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
itran - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Updated in quick-transfer
ItrAnc() - Constructor for class elki.result.Metadata.Hierarchy.ItrAnc: Constructor for descendants-only.
ItrAnc(Object) - Constructor for class elki.result.Metadata.Hierarchy.ItrAnc: Constructor with additional element.
ItrAnc(O) - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Constructor for descendants-only.
ItrAnc(O, O) - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Constructor with additional element.
ItrChildren() - Constructor for class elki.result.Metadata.Hierarchy.ItrChildren: Constructor.
ItrChildren() - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren
ItrChildrenReverse() - Constructor for class elki.result.Metadata.Hierarchy.ItrChildrenReverse: Constructor.
ItrChildrenReverse() - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse
ItrDesc() - Constructor for class elki.result.Metadata.Hierarchy.ItrDesc: Constructor for descendants-only.
ItrDesc(Object) - Constructor for class elki.result.Metadata.Hierarchy.ItrDesc: Constructor with additional element.
ItrDesc(O) - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc: Constructor for descendants-only.
ItrDesc(O, O) - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc: Constructor with additional element.
ItrParents() - Constructor for class elki.result.Metadata.Hierarchy.ItrParents: Constructor.
ItrParents() - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents
ItrParentsReverse() - Constructor for class elki.result.Metadata.Hierarchy.ItrParentsReverse: Constructor.
ItrParentsReverse() - Constructor for class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse
its - Variable in class elki.utilities.datastructures.iterator.ConcatIt: Iterators
iwidth - Variable in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Scaling factor: inverse of width.
iwidth - Variable in class elki.result.ExportVisualizations: Image width for pixel output.
iwidth - Variable in class elki.result.ExportVisualizations.Par: Width of pixel output formats.
IWIDTH_ID - Static variable in class elki.result.ExportVisualizations.Par: Parameter to specify the image width of pixel formats
ix - Variable in class elki.clustering.hierarchical.HACAM.Instance: Iterators into the object ids.
ix - Variable in class elki.clustering.hierarchical.MedoidLinkage.Instance: Iterators into the object ids.
ix - Variable in class elki.clustering.hierarchical.MiniMax.Instance: Iterators into the object ids.
iy - Variable in class elki.clustering.hierarchical.HACAM.Instance: Iterators into the object ids.
iy - Variable in class elki.clustering.hierarchical.MedoidLinkage.Instance: Iterators into the object ids.
iy - Variable in class elki.clustering.hierarchical.MiniMax.Instance: Iterators into the object ids.

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