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

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

I

i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy
i - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task: First offset.
iconcache - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Used for id assignment.
id - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature: Object ID
id - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.ChangePoint: Data set reference.
id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair: The DB id.
id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID: The actual object ID.
id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar: The actual value.
id - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle: Object ID
id - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry: Holds the id of the object (node or data object) represented by this entry.
id - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation: Object represented by this approximation
id - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage: The unique id if this page.
id - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild: The ID.
id - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceByID: ID of element to replace.
id - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: Segment we are attached to
id1 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments: The id of the first routing object.
id2 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments: The id of the second routing object.
ID_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer: Parameter that specifies the object ID pattern
ID_PATTERN_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore: The default pattern for matching ID lines.
identity(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Generate unit / identity / "eye" matrix.
IdentityScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling: The trivial "identity" scaling function.
IdentityScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.IdentityScaling
idf - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: The IDF storage.
idim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS: Intrinsic dimensionality.
idim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer: Intrinsic dimensionality.
IDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer: Intrinsic dimensionality.
IDistanceKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.IDistanceKNNQuery: Constructor.
IDistanceRangeQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.IDistanceRangeQuery: Constructor.
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore: DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore: DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore: DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore: DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore: DBID to index map.
idmap - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix: Static mapping from DBIDs to indexes.
IDOS<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic: Intrinsic Dimensional Outlier Detection in High-Dimensional Data.
IDOS(DistanceFunction<? super O>, IntrinsicDimensionalityEstimator, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS: Constructor.
IDOS.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic: Parameterization class.
idpattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore: object id pattern
idpattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer: object id pattern
idrep - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: The DBID representation we use
idrep - Variable in class de.lmu.ifi.dbs.elki.database.ProxyDatabase: Our DBID representation
idrep - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase: The DBID representation we use
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Holds the ids of the objects associated with this interval.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Instance: DBIDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel: Neighbor ids.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance: DBIDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel: Neighbor ids.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.SimilarityNeighborPredicate.Instance: DBIDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter: IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance: Unordered IDs
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance: Unordered IDs
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Unordered IDs
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance: Unordered IDs
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: The DBIDs in this result.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: The DBIDs in this result.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARANS.Assignment: Ids to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Instance: Ids to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder: Cluster order.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance: IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance: IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance: IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: The ids of the feature vectors this unit contains.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.ClusterCandidate: Objects contained in cluster.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature: Object ids.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix: Indexed objects.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix: Indexed data points
ids - Variable in class de.lmu.ifi.dbs.elki.data.Cluster: Cluster data.
ids - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: IDs of this database
ids - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList: DBIDs
ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.DBIDView: The ids object
ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation: The DBIDs this is supposed to be defined for.
ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation: The DBIDs this is supposed to be defined for.
ids - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase: IDs of this database
ids - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle: DBIDs for these objects, but may be null.
ids - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap
ids - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: The database IDs used
ids - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix: DBID range.
ids - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedSimilarityMatrix: DBID range.
ids - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner: Array IDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner: Array IDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore: Database IDs
ids - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs: Object ID range.
ids - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs: Object ID range.
ids - Variable in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy: Object IDs
IDSTART_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer: Optional parameter to specify the first object ID to use.
idview - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView: The DBIDs we contain
IGNORE_CLASSES - Static variable in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord: Classes to ignore when finding the relevant caller.
ilogs - Variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.GEDEstimator: Cached logs of integers.
imadsigma - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization: Stores the inverse median absolute deviation in each dimension.
images - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: The image cache.
img - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Our image
img - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance: The actual image
imgfile - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: The file we have written the image to
IMGFILEPREFIX - Static variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Prefix for filenames
IMPORTANT - Static variable in annotation type de.lmu.ifi.dbs.elki.utilities.Priority: Important implementations.
importInteger(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory: Import and integer as DBID.
importInteger(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Import and integer as DBID.
importInteger(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
in - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: The input stream to parse from.
in - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader: Input stream to read from
IN_TIES - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap: Constant for "in ties list", for tied heaps.
inCircle(double[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: Test whether a point is within the circumference circle.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK: Include query object in evaluation.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer: Include query object in evaluation.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance: Include query object in evaluation.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer: Include query object in evaluation.
INCLUDESELF_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer: Parameter to include the query object.
INCLUDESELF_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer: Parameter to include the query object.
IncompatibleDataException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions: Exception thrown when no compatible data was found.
IncompatibleDataException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.IncompatibleDataException: Constructor.
IncompatibleDataException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.IncompatibleDataException: Constructor.
InconsistentDataException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions: Data inconsistency exception.
InconsistentDataException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.InconsistentDataException: Constructor.
InconsistentDataException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.InconsistentDataException: Constructor.
increaseEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode: Increases the length of the entries array to entries.length + 1.
increaseSupport() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset: Increase the support of the itemset.
IncreasingVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter: Class to iterate over a number vector in decreasing order.
IncreasingVectorIter(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.IncreasingVectorIter: Constructor.
incRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractKNNQuery: Count extra refinements.
incRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery: Count extra refinements.
increment(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
increment(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
increment(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
increment(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
increment(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore: Increment the specified value with the specified id in this storage.
increment(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore: Increment a value.
increment() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
increment() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter: Increment the counter.
increment(long) - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter: Increment the counter by i.
increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic: Increment counter.
increment() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
increment(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Put fresh data into the histogram (or into the cache)
increment(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram: Increment the value of a bin.
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: Redraw the visualization (maybe incremental).
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance
incrementalRedraw() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization: Request an update of the visualization.
incrementalUpdateMean(double[], NumberVector, int, double) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans: Compute an incremental update for the mean.
incrementDiscarded() - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorInterfaceDynamic: Increment the number of elements discarded.
incrementDiscarded() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Increase number of discarded points
incrementIssuedQueries() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
incrementProcessed(AbstractProgress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Increment a progress (unless null).
incrementProcessed(Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress: Increment the processed counter.
incrementQueryTime(long) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
incrementRefinements() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
incrementScannedBytes(long) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
IndefiniteProgress - Class in de.lmu.ifi.dbs.elki.logging.progress: Progress class without a fixed destination value.
IndefiniteProgress(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress: Constructor.
IndefiniteProgress(String, Logging) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress: Constructor with logging.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance: Instantiated index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS: Index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS.Parameterizer: Random projection index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition: Current position
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance: Instantiated index.
index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor: Representation index.
index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor: Representation index.
index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor: Representation index.
index - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance: Index we use
index - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance: Parent index
index - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex: The actual index.
Index - Interface in de.lmu.ifi.dbs.elki.index: Interface defining the minimum requirements for all index classes.
index - Variable in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex: Inverted index.
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration: The index storing the nodes.
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath: The index of this component in its parent.
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery: The index to use
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MTreeKNNQuery: The index to use
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MTreeRangeQuery: The index to use
index(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure: Index into the serialized array.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap: Holds the indices in the heap of each element.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs: Index, to map DBID to offset.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Current positions of result and iterator.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator: Store the next node
INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization: Generic tag to indicate the type of element.
INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization: Generic tag to indicate the type of element.
INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization: Generic tag to indicate the type of element.
INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase.Parameterizer: Parameter to specify the indexes to use.
INDEX_ID - Static variable in interface de.lmu.ifi.dbs.elki.distance.distancefunction.IndexBasedDistanceFunction: OptionID for the index parameter
INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Parameterizer: Parameter to specify the preprocessor to be used.
INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer: Option ID for the inner index to use.
IndexBasedDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Distance function relying on an index (such as preprocessed neighborhoods).
IndexBasedDistanceFunction.Instance<T,I extends Index> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Instance interface for Index based distance functions.
IndexBasedSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction: Interface for preprocessor/index based similarity functions.
IndexBasedSimilarityFunction.Instance<T,I extends Index> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction: Instance interface for index/preprocessor based distance functions.
indexDense(DBIDRef, V) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex: Index a single (dense) instance.
indexer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu: DeLiClu Index factory.
indexer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.Parameterizer: DeLiClu Index factory.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector: Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector: Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector: Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseShortVector: Indexes of values.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask: Indexes to add.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer: Indexes to add.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: Index factories.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer: Indexes to add.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer: Indexes to add.
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO: Factory to produce
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer: Factory to produce
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC: Factory to produce
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer: Factory to produce the index.
indexFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction: Parameter to specify the preprocessor to be used.
indexFactory - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction: Parameter to specify the preprocessor to be used.
IndexFactory<V> - Interface in de.lmu.ifi.dbs.elki.index: Factory interface for indexes.
IndexMetaResult(Collection<Pair<String, String>>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics.IndexMetaResult: Constructor.
indexOfSegment(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Get the index of a selected segment.
IndexPurity - Class in de.lmu.ifi.dbs.elki.evaluation.index: Compute the purity of index pages as a naive measure for performance capabilities using the Gini index.
IndexPurity() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexPurity: Constructor.
indexSparse(DBIDRef, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex: Index a single (sparse) instance.
IndexStatistics - Class in de.lmu.ifi.dbs.elki.evaluation.index: Simple index analytics, which includes the toString() dump of index information.
IndexStatistics() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics: Constructor.
IndexStatistics.IndexMetaResult - Class in de.lmu.ifi.dbs.elki.evaluation.index: Result class.
indexToFileposition(long) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Compute file position from index number
IndexTree<N extends Node<E>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree: Abstract super class for all tree based index classes.
IndexTree(PageFile<N>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Constructor.
IndexTreePath<E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree: Represents a path to a node in an index structure.
IndexTreePath(IndexTreePath<E>, E, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath: Constructs a new IndexPath.
indices - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset: Scratch storage.
indices - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset: Items, as indexes.
indices - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix: Non-zero indexes
indirectSelections - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Segments indirectly selected
Individuum(double, short[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum: Constructor
inferCaller() - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Infer which class has called the logging helper.
inferCallerELKI() - Method in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord: Infer a caller, ignoring logging-related classes.
infile - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: The data input file.
infile - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer: Data source.
infile - Variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection: File to load.
infile - Variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer: File to load.
infile - Variable in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer: Input stream to process.
INFINITY_LENGTH - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil: Length of pattern
INFINITY_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil: Infinity pattern, with any capitalization
INFLO<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Influence Outliers using Symmetric Relationship (INFLO) using two-way search, is an outlier detection method based on LOF; but also using the reverse kNN.
INFLO(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO: Constructor with parameters.
INFLO.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
info(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'info' ('verbose') level.
info(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'info' ('verbose') level.
INFORMATION_CRITERION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer: Quality measure to use for evaluating splits.
informationCriterion - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans: Information criterion to choose the better split.
informationCriterion - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer: Information criterion.
init(BundleStreamSource) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
init(BundleStreamSource) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.StreamFilter: Connect to the previous stream.
init(GLAutoDrawable) - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
INIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer: Parameter to specify the cluster center initialization.
INIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer: Parameter to specify the EM cluster models to use.
INIT_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans: Parameter to specify the initialization method
initHeap(ObjectHeap<CASHInterval>, Relation<ParameterizationFunction>, int, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Initializes the heap with the root intervals.
initHeaps(SpatialPrimitiveDistanceFunction<V>, N) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin: Initialize the heaps.
initial(double, boolean) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.Linkage: Initialization of the distance matrix.
initial(double, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.MinimumVarianceLinkage
initial(double, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage.WardLinkage
INITIAL_BUFFER - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter: Initial buffer size.
INITIAL_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory.Parameterizer: Whether to initialize neighbors with sampled neighbors.
INITIAL_MEANS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer: Option to specify the initial means to use.
INITIAL_SIZE - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode: Initial size, after sizes 0 and 1.
INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs: Initial size.
INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList: Initial size allocation.
INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Initial size.
INITIAL_SOLUTION_SCALE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE: Scale of the initial solution.
INITIAL_SOLUTION_SCALE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE: Scale of the initial solution.
INITIAL_TIES_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: Initial size of ties array.
initialAssignment(List<ModifiableDBIDs>, WritableDataStore<SameSizeKMeansAlgorithm<V>.Meta>, DBIDs) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm
initialAssignToNearestCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansAnnulus.Instance
initialAssignToNearestCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Instance: Perform initial cluster assignment.
initialAssignToNearestCluster() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Instance: Perform initial cluster assignment.
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance: Initialize for a new DBID.
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance
initialization - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm: Similarity initialization
initialization - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer: Initialization function for the similarity matrix.
initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory: Initialization method.
initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer: Initialization method.
initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex: Initialization method.
INITIALIZATION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer: Parameter for the similarity matrix initialization
initialize(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures: Hilbert function to fill pf with shifted Hilbert values.
initialize(SimpleTypeInformation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
initialize(SimpleTypeInformation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection
initialize(SimpleTypeInformation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection
initialize(SimpleTypeInformation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
initialize(SimpleTypeInformation<? extends IN>) - Method in interface de.lmu.ifi.dbs.elki.data.projection.Projection: Initialize
initialize(SimpleTypeInformation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection
initialize() - Method in interface de.lmu.ifi.dbs.elki.database.Database: Initialize the database, for example by loading the input data.
initialize() - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: Initialize the database by getting the initial data from the database connection.
initialize() - Method in class de.lmu.ifi.dbs.elki.database.ProxyDatabase
initialize() - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase: Initialize the database by getting the initial data from the database connection.
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation
initialize(MultipleObjectsBundle) - Method in interface de.lmu.ifi.dbs.elki.evaluation.classification.holdout.Holdout: Initialize the holdout procedure for a data set.
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation
initialize() - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix
initialize() - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedSimilarityMatrix
initialize() - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
initialize() - Method in interface de.lmu.ifi.dbs.elki.index.Index: Initialize the index.
initialize() - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
initialize() - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Initialize the tree if the page file already existed.
initialize(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Initializes the index.
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
initialize() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile
initialize() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile: Initialize the page file with the given header - return "true" if the file already existed.
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
initialize(PageHeader) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile: Initialize the page file with the given header - return "true" if the file already existed.
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
initialize() - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner: Perform a full (slow) scan for classes.
initialize(CharSequence, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Initialize parser with a new string.
initialize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
initialize(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Initialize the plot.
initializeBandwidth(double[][]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
initializeCapacities(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkAppEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkCoPEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkMaxEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
initializeCapacities(MkTabEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
initializeCapacities(MTreeEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
initializeCapacities(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
initializeCapacities(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
initialized - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: True if this index is already initialized.
initializeDataExtends(Relation<NumberVector>, int, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency: Initialize the uniform sampling area.
initializeDistanceMatrix(MatrixParadigm, DistanceQuery<?>, Linkage) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES: Initialize a distance matrix.
initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Initializes this index from an existing persistent file.
initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Initializes this R*-Tree from an existing persistent file.
initializeFromFile(TreeIndexHeader, PageFile<FlatRStarTreeNode>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree: Initializes the flat RTree from an existing persistent file.
initializeLookupTable(double[][], NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VALPNormDistance: Initialize the lookup table.
initializeMatrices(MatrixParadigm, ArrayModifiableDBIDs, DistanceQuery<O>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMax: Initializes the inter-cluster distance matrix of possible merges
initializeMeta(Relation<V>, double[][]) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm: Initialize the metadata storage.
initializeNNCache(double[], double[], int[]) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering: Initialize the NN cache.
initializeNNCache(double[], double[], int[]) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxAnderberg: Initialize the NN cache.
initializeOutputType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorConversionFilter: Initialize factory from a data type.
initializeOutputType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter: Initialize factory from a data type.
initializeOutputType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
initializeOutputType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
initializePlot() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Initialize the SVG plot.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory: Class to choose the initial means
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer: Initialization method
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer: Initialization method
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans: Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer: Initialization method.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM: Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer: Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPark: Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPark.Parameterizer
initializer - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer: Initialization method.
initializeRadii(DBIDs, KNNQuery<O>, DistanceQuery<O>, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF: This method prepares a container for the radii of the objects and initializes radii according to the equation: initialRadii of a certain object = (absoluteMinDist of all objects) * (avgDist of the object) / (minAvgDist of all objects)
initializeRandomAttributes(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter: Initialize random attributes.
initializeSearchItemset(BitVector, int[], int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI: Initialize the scratch itemset.
initializeWithDistances(DistanceQuery<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm: Initialize a distance matrix.
initialMeans(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans: Choose the initial means.
initialMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans: Initial means to return.
initialMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer: Initial means.
initialMedoids(DistanceQuery<V>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM: Choose the initial medoids.
initialMomentum - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE: Final momentum.
initialMomentum - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE: Final momentum.
initialPopulation(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Produce an initial (random) population.
initialRange(DBIDRef, DBIDs, PrimitiveDistanceFunction<? super NumberVector>, double, OUTRES.KernelDensityEstimator, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: Initial range query.
initialSeeds(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Initializes the list of seeds wit a random sample of size k.
initialSet(DBIDs, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Returns a set of k elements from the specified sample set.
initialWeights(WritableDoubleDataStore, DBIDs, NumberVector, DistanceQuery<? super NumberVector>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.KMeansPlusPlusInitialMeans: Initialize the weight list.
initialWeights(WritableDoubleDataStore, DBIDs, DBIDRef, DistanceQuery<?>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.KMeansPlusPlusInitialMeans: Initialize the weight list.
initialWeights(WritableDoubleDataStore, Relation<? extends T>, DBIDs, T, T, DistanceQuery<? super T>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.OstrovskyInitialMeans: Initialize the weight list.
initKnnDistanceList() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Returns a knn distance list with all distances set to null distance.
initLabels() - Method in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
initLabelsAndModels(ArrayList<GeneratorInterface>, ClassLabel[], Model[], Pattern) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain: Initialize cluster labels and models.
initMinMaxArrays() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Init the arrays we use.
initOneDimensionalUnits(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Initializes and returns the one dimensional units.
initRangeQueries(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex: Initializes the dimension selecting distancefunctions to determine the preference vectors.
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser
initStream(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.StreamingParser: Init the streaming parser for the given input stream.
inline - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Buffer for inline data to output.
inlineCSS() - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Render CSS class to inline formatting
inlineExternal(Document, ParsedURL, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages: Inline an external file (usually from temp).
inlinePrint(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Print data into the inline part of the file.
inlinePrintNoQuotes(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Print data into the inline part of the file WITHOUT checking for separators (and thus quoting).
inlineThumbnail(Document, ParsedURL, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages: Inline a referenced thumbnail.
InMemoryIDistanceIndex<O> - Class in de.lmu.ifi.dbs.elki.index.idistance: In-memory iDistance index, a metric indexing method using a reference point embedding.
InMemoryIDistanceIndex(Relation<O>, DistanceQuery<O>, KMedoidsInitialization<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex: Constructor.
InMemoryIDistanceIndex.Factory<V> - Class in de.lmu.ifi.dbs.elki.index.idistance: Index factory for iDistance indexes.
InMemoryIDistanceIndex.Factory.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.index.idistance: Parameterization class.
InMemoryIDistanceIndex.IDistanceKNNQuery - Class in de.lmu.ifi.dbs.elki.index.idistance: kNN query implementation.
InMemoryIDistanceIndex.IDistanceRangeQuery - Class in de.lmu.ifi.dbs.elki.index.idistance: Exact Range query implementation.
InMemoryInvertedIndex<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist: Simple index using inverted lists, for cosine distance only.
InMemoryInvertedIndex(Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex: Constructor.
InMemoryInvertedIndex.ArcCosineKNNQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist: kNN query object, for arc cosine distance.
InMemoryInvertedIndex.ArcCosineRangeQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist: kNN query object, for cosine distance.
InMemoryInvertedIndex.CosineKNNQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist: kNN query object, for cosine distance.
InMemoryInvertedIndex.CosineRangeQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist: kNN query object, for cosine distance.
InMemoryInvertedIndex.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist: Index factory
InMemoryInvertedIndex.Factory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist: Parameterizer for inverted list index.
InMemoryLSHIndex<V> - Class in de.lmu.ifi.dbs.elki.index.lsh: Locality Sensitive Hashing.
InMemoryLSHIndex(LocalitySensitiveHashFunctionFamily<? super V>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex: Constructor.
InMemoryLSHIndex.Instance - Class in de.lmu.ifi.dbs.elki.index.lsh: Instance of a LSH index for a single relation.
InMemoryLSHIndex.Instance.LSHKNNQuery - Class in de.lmu.ifi.dbs.elki.index.lsh: Class for handling kNN queries against the LSH index.
InMemoryLSHIndex.Instance.LSHRangeQuery - Class in de.lmu.ifi.dbs.elki.index.lsh: Class for handling kNN queries against the LSH index.
InMemoryLSHIndex.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.index.lsh: Parameterization class.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.CachedDistanceQuery: Inner distance query
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering: The algorithm to be wrapped and run.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering.Parameterizer: Field to store the algorithm.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory: Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer: Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory: Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer: Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood: The data store to use
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory: The inner predicate factory
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer: The actual predicate.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter: Actual predicate
inner - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier: Inner class for generating uncertain instances.
inner - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer: Inner class for generating uncertain instances.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList: Wrapped inner result.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList: Wrapped inner result.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs: The DBIDs we wrap.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs: The DBIDs we wrap.
inner - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView: The wrapped representation where we get the IDs from.
inner - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView: The wrapped representation where we get the IDs from.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor: Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor.Parameterizer: Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor: Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.Parameterizer: Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator: Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Parameterizer: Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator: Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Parameterizer: Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer: Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer: Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer: Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory: Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer: Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex: Inner index.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery: Inner kNN query.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRangeQuery: Inner range query.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery: Inner RkNN query.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer: Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorizingEstimator: Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorizingEstimator.Parameterizer: Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter: Adapter class.
inner - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.IterableIt: The proxied iterator.
inner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: The parameterization we get the new values from.
inner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Inner parameterization
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer: The parameter to give the non-weighted neighborhood to use.
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer: Class to use for generating the uncertain instances.
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer: Option for the class to use on the trimmed sample.
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorizingEstimator.Parameterizer: Option for the class to use on the winsorized sample.
INNER_KMEANS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer: Parameter to specify the kMeans variant.
inneriter - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr: Inner iterator.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans: Variant of kMeans for the bisecting step.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization: Variant of kMeans to use for initialization.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization.Parameterizer: Inner k-means algorithm to use.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting: Variant of kMeans for the bisecting step.
innerKMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans: Inner k-means algorithm.
innerKMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer: Variant of kMeans
innerScan(HilOut<O>.HilbertFeatures, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut: innerScan function calculates new upper and lower bounds and inserts the points of the neighborhood the bounds are based on in the NN Set
input - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor: KNN query object
input - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor.Instance: kNN query
input - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication: The data input step.
input - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer: The data input step.
input - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader: Input channel.
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel: Input step to run on.
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel: Input step to run on.
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel: The data input configured
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel: Input step to run on.
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor: Input channel
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance: Input channel instance
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor: KNN query object
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor.Instance: kNN query
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor: Input variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor.Instance: Variable to exchange data over
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor: Shared double variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance: Shared double variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor: Shared int variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance: Shared int variable
input - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Data currently processed.
INPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer: Parameter that specifies the name of the input file.
INPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer: Parameter that specifies the name of the input files to be parsed.
INPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer: Parameter that specifies the name of the input file to be parsed.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Input step
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer: Data source
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment: The data input part.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer: Data source.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix: The data input part.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer: Data source.
inputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask: The data input step
inputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer
InputStep - Class in de.lmu.ifi.dbs.elki.workflow: Data input step of the workflow.
InputStep(Database) - Constructor for class de.lmu.ifi.dbs.elki.workflow.InputStep: Constructor.
InputStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow: Parameterization class.
InputStreamDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource: Database connection expecting input from an input stream such as stdin.
InputStreamDatabaseConnection(Supplier<InputStream>, List<ObjectFilter>, Parser) - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: Constructor.
InputStreamDatabaseConnection(InputStream, List<ObjectFilter>, Parser) - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: Constructor.
InputStreamDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource: Parameterization class.
inputTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: Input panel.
InputTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels: Panel to handle data input.
InputTabPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel
ins - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: The stream that we are processing.
insert(NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree: Insert a data point into the tree.
insert(CFTree.TreeNode, NumberVector) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree: Recursive insertion.
insert(CFTree.TreeNode, ClusteringFeature) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree: Recursive insertion.
insert(FPGrowth.FPTree, int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode: Insert an itemset into the tree.
insert(int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree: Insert an itemset into the tree.
insert(DBID, double, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature: insert function inserts a nearest neighbor into a features nn list and its distance
insert(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
insert(int, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs: Insert at position i (starting at 0, moving the remainder by one position).
insert(int, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
insert(double, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap: Add a distance-id pair to the heap unless the distance is too large.
insert(DoubleDBIDPair) - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap: Add a distance-id pair to the heap unless the distance is too large.
insert(DBIDRef, Double) - Method in interface de.lmu.ifi.dbs.elki.database.relation.DoubleRelation: Deprecated.
use DoubleRelation.set(DBIDRef, double) instead.
insert(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation: Deprecated.
insert(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
insert(DBIDRef, O) - Method in interface de.lmu.ifi.dbs.elki.database.relation.ModifiableRelation: Set (or insert) an object representation.
insert(ObjectBundle) - Method in interface de.lmu.ifi.dbs.elki.database.UpdatableDatabase: Inserts the given object(s) and their associations into the database.
insert(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex: Inserts the specified object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
insert(E, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Inserts the specified object into this M-Tree.
insert(MkAppEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
insert(MkCoPEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
insert(MkTabEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Inserts the specified reel vector object into this index.
insert(int, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray: Insert a value at the given position.
insert(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray: Insert a value at the given position.
INSERT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer: Parameter to specify the insertion strategy to construct the tree.
insertAll(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
insertAll(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Bulk insert.
insertAll(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
insertAll(List<MkAppEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Inserts the specified objects into this MkApp-Tree.
insertAll(List<MkCoPEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Inserts the specified objects into this index.
insertDirectoryEntry(E, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Inserts the specified directory entry at the specified level into this R*-Tree.
insertHandler(Class<?>, H) - Method in class de.lmu.ifi.dbs.elki.utilities.HandlerList: Insert a handler to the beginning of the stack.
insertIntoGrid(DBIDRef, V, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance: Insert a single object into the grid; potentially into multiple cells (at most 2^d) via recursion.
INSERTION_CANDIDATES_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer: Fast-insertion parameter.
INSERTION_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer: Fast-insertion parameter.
INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort: Threshold for using insertion sort.
INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Threshold for using insertion sort.
INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Threshold for using insertion sort.
insertionEvent(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent: Insertion event.
insertionSort(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, DBIDArrayIter, DBIDArrayIter) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs: Sort a small array using repetitive insertion sort.
insertionSort(ModifiableDoubleDBIDList, int, int, DoubleDBIDListIter, DoubleDBIDListIter) - Static method in class de.lmu.ifi.dbs.elki.database.ids.QuickSelectDBIDs: Sort a small array using repetitive insertion sort.
insertionSort(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort via insertion sort.
insertionSort(int[], int, int, IntComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Insertion sort, for short arrays.
insertionSort(T, QuickSelect.Adapter<T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect: Sort a small array using repetitive insertion sort.
insertionSort(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect: Sort a small array using repetitive insertion sort.
insertionSort(List<T>, Comparator<? super T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect: Sort a small array using repetitive insertion sort.
insertionSortReverse(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort via insertion sort.
insertionStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.RTreeSettings: The insertion strategy to use.
InsertionStrategy - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: RTree insertion strategy interface.
insertLeaf(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
insertLeaf(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndexTree: Add a new leaf entry to the tree.
insertLeafEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Inserts the specified leaf entry into this R*-Tree.
inserts - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent: Insertions.
insertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSettings: Insertion strategy.
Instance(Database, Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance: Constructor.
Instance(DBIDs, DataStore<M>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Instance: Constructor.
Instance(DBIDs, DataStore<COPACNeighborPredicate.COPACModel>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Instance: Constructor.
Instance(double, RangeQuery<?>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance: Constructor.
Instance(DBIDs, DataStore<PCAFilteredResult>, Relation<? extends NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance: Constructor.
Instance(FourC.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Instance: Constructor for this predicate.
Instance(DBIDs, DataStore<PreDeConNeighborPredicate.PreDeConModel>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Instance: Constructor.
Instance(NeighborPredicate.Instance<T>, CorePredicate.Instance<? super T>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance: Full Constructor
Instance(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Instance: Constructor for this predicate.
Instance(Database, NeighborPredicate<T>, CorePredicate<? super T>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel.ParallelGeneralizedDBSCAN.Instance: Full Constructor
Instance(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Instance: Constructor for this predicate.
Instance(DBIDs, DataStore<PreDeConNeighborPredicate.PreDeConModel>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Instance: Constructor.
Instance(double, RangeQuery<?>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.SimilarityNeighborPredicate.Instance: Constructor.
Instance(DistanceFunction<? super V>, double, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance: Constructor.
Instance(PointerHierarchyRepresentationResult) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Instance: Constructor.
Instance(PointerHierarchyRepresentationResult) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Instance: Constructor.
Instance(PointerHierarchyRepresentationResult) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight.Instance: Constructor.
Instance(PointerHierarchyRepresentationResult) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Instance: Constructor.
Instance(PointerHierarchyRepresentationResult) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Constructor.
Instance(PointerHierarchyRepresentationResult) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansAnnulus.Instance
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansCompare.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansExponion.Instance
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSort.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM1.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Instance: Constructor.
Instance(DistanceQuery<?>, DBIDs, WritableIntegerDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAMReynolds.Instance: Constructor.
Instance(Relation<V>, NumberVectorDistanceFunction<? super V>, WritableIntegerDataStore, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance: Constructor.
Instance(Relation<? extends NumberVector>, NumberVectorDistanceFunction<?>, double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SingleAssignmentKMeans.Instance: Constructor.
Instance(Database, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance: Constructor for a single data set.
Instance(Database, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance: Constructor for a single data set.
Instance(Database, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance: Constructor for a single data set.
Instance(Database, Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Constructor.
Instance(Database, Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance: Constructor.
Instance(double, int, double, Relation<? extends UncertainObject>, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance: Constructor.
Instance() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Instance
Instance(int, SharedObject.Instance<? extends KNNList>, SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor.Instance: Constructor.
Instance(Random) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Constructor.
Instance() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Instance: Constructor.
Instance(Relation<O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance: Constructor.
Instance(Relation<O>, I, F) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance: Constructor.
Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance: Constructor.
Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter.Instance: Constructor.
Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear.Instance: Constructor.
Instance(Relation<O>, DistanceFunction<? super O>, SimilarityQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.Instance: Constructor.
Instance(Relation<T>, SharedNearestNeighborIndex<T>, SharedNearestNeighborJaccardDistanceFunction<T>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Instance: Constructor.
Instance(Relation<O>, I) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance: Constructor.
Instance(Relation<T>, SharedNearestNeighborIndex<T>, FractionalSharedNearestNeighborSimilarityFunction<? super T>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Instance: Constructor.
Instance(Relation<O>, SharedNearestNeighborIndex<O>, SharedNearestNeighborSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Instance: Constructor.
Instance(Relation<V>, ArrayList<? extends LocalitySensitiveHashFunction<? super V>>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance: Constructor.
Instance(int, SharedObject.Instance<? extends KNNList>, SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor.Instance: Constructor.
Instance(int, KNNQuery<O>, SharedObject.Instance<KNNList>) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor.Instance: Constructor.
Instance(SharedObject.Instance<T>) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor.Instance: Constructor.
Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance: Constructor.
Instance(SharedInteger.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance: Constructor.
Instance() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble.Instance
Instance() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance
Instance() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject.Instance
instance - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: The instance to use.
Instance(Relation<? extends O>, ProjectionParallel, OpenGL3DParallelCoordinates.Settings<O>, StylingPolicy, StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Constructor
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance: Constructor.
Instance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance: Constructor.
InstanceLogRankNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Normalize vectors such that the smallest value of each instance is 0, the largest is 1, but using \( \log_2(1+x) \).
InstanceLogRankNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization: Constructor.
InstanceLogRankNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Parameterization class.
InstanceMeanVarianceNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Normalize vectors such that they have zero mean and unit variance.
InstanceMeanVarianceNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization: Constructor.
InstanceMeanVarianceNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Parameterization class.
InstanceMinMaxNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Normalize vectors with respect to a given minimum and maximum in each dimension.
InstanceMinMaxNormalization(double, double) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization: Constructor.
InstanceMinMaxNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization: Constructor, normalizing to [0;1]
InstanceMinMaxNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Parameterization class.
InstanceRankNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Normalize vectors such that the smallest value of each instance is 0, the largest is 1.
InstanceRankNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization: Constructor.
InstanceRankNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise: Parameterization class.
instances - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter: Cache for the generated instances.
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate
instantiate(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate: Full instantiation method.
instantiate(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate: Instantiate for a database.
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate
instantiate(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate: Full instantiation interface.
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate
instantiate(Database) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.NeighborPredicate: Instantiate for a database.
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel.ParallelGeneralizedDBSCAN.Instance
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.SimilarityNeighborPredicate
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor
instantiate(Database) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory
instantiate(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.NeighborSetPredicate.Factory: Instantiation method.
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory
instantiate(Database, Relation<? extends O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.WeightedNeighborSetPredicate.Factory: Instantiation method.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDRangeDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Instantiate with a database to get the actual distance query.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseDoubleDistanceFunction
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedSparseFloatDistanceFunction
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringDistanceSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.IndexBasedSimilarityFunction: Preprocess the database to get the actual distance function.
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.PrimitiveSimilarityFunction
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction: Instantiate with a representation to get the actual similarity query.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedSimilarityMatrix.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory
instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.IndexFactory: Sets the database in the distance function of this index (if existing).
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory
instantiate(Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory
instantiate(Relation<NV>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory
instantiate(Relation<NV>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.localpca.FilteredLocalPCAIndex.Factory: Instantiate the index for a given database.
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory
instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.preference.PreferenceVectorIndex.Factory: Instantiate the index for a given database.
instantiate(Relation<O>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborIndex.Factory: Instantiate the index for a given database.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor
instantiate(Executor) - Method in interface de.lmu.ifi.dbs.elki.parallel.processor.Processor: Create an instance.
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor
instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble
instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger
instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject
instantiate() - Method in interface de.lmu.ifi.dbs.elki.parallel.variables.SharedVariable: Instantiate for an execution thread.
instantiate(Class<T>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Returns a new instance of the given type for the specified className.
instantiateClass(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Returns a new instance for the value (i.e., the class name) of this class parameter.
instantiateClass(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: Returns a new instance for the value (i.e., the class name) of this class parameter.
instantiateClasses(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: Returns a list of new instances for the value (i.e., the class name) of this class list parameter.
instantiateClasses(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter
instantiateGenerics(Class<?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Returns a new instance of the given type for the specified className.
instantiateLowlevel(Class<? extends T>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Instantiate the first available implementation of an interface.
instantiateVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Instantiate a visualization.
instream - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer: Input stream.
INT0 - Static variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector: Constant value, for use in (inefficient) SparseIntegerVector.getValue(int) API.
INT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil: Static instance.
IntDoublePair - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Pair storing an integer and a double.
IntDoublePair(int, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: Constructor
INTEGER - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Integer type.
INTEGER_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect: Adapter for integer arrays.
INTEGER_ARRAY - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Integer array objects.
INTEGER_NULL - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction: Constants for checking null.
IntegerArray - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike: Array of int values (primitive, avoiding the boxing overhead of ArrayList).
IntegerArray() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray: Constructor.
IntegerArray(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray: Constructor.
IntegerArray(IntegerArray) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray: Constructor from an existing array.
IntegerArrayDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Trivial combination interface.
IntegerArrayQuickSort - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arrays: Class to sort an int array, using a modified quicksort.
IntegerArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Private constructor.
IntegerArrayStaticDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Combination of ArrayStaticDBIDs and IntegerDBIDs.
IntegerDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore: Integer-valued data store (avoids boxing/unboxing).
IntegerDBID - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Database ID object.
IntegerDBID(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID: Constructor from integer id.
IntegerDBID(Integer) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID: Constructor from integer id.
IntegerDBID.DynamicSerializer - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Dynamic sized serializer, using varint.
IntegerDBID.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Pseudo iterator for DBIDs interface.
IntegerDBID.StaticSerializer - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Static sized serializer, using regular integers.
IntegerDBIDArrayIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Modifiable integer array iterator.
IntegerDBIDArrayMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Modifiable integer array iterator.
IntegerDBIDArrayQuickSort - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Class to sort an integer DBID array, using a modified quicksort.
IntegerDBIDArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort: Private constructor.
IntegerDBIDIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator for integer DBIDs.
IntegerDBIDKNNList - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Combination interface for KNNList and IntegerDBIDs.
IntegerDBIDKNNSubList - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Sublist of an existing result to contain only the first k elements.
IntegerDBIDKNNSubList(IntegerDBIDKNNList, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList: Constructor.
IntegerDBIDKNNSubList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator for the sublist.
IntegerDBIDMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Modifiable iterator interface for integer DBIDs.
IntegerDBIDPair - Class in de.lmu.ifi.dbs.elki.database.ids.integer: DBID pair using two ints for storage.
IntegerDBIDPair(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair: Initialize pair
IntegerDBIDPair.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator.
IntegerDBIDPair.Slice - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Slice of an array.
IntegerDBIDPair.Slice.SliceItr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator class.
IntegerDBIDRange - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Representing a DBID range allocation.
IntegerDBIDRange(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange: Constructor.
IntegerDBIDRange.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator in ELKI/C++ style.
IntegerDBIDRef - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: DBID reference that references an integer value.
IntegerDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer: Integer DBID collection.
IntegerDBIDVar - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Variable for storing a single DBID reference.
IntegerDBIDVar() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar: Constructor.
IntegerDBIDVar(DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar: Constructor.
IntegerDBIDVar.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Pseudo iterator for DBIDs interface.
integerDigits(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Returns the integer digits of the specified double value.
IntegerHeap - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Basic in-memory heap for int values.
IntegerHeap.UnsortedIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Binary heap for primitive types.
IntegerMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap: Constructor, with default size.
IntegerMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap: Constructor, with given minimum size.
IntegerMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Binary heap for primitive types.
IntegerMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap: Constructor, with default size.
IntegerMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap: Constructor, with given minimum size.
IntegerMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerMinMax - Class in de.lmu.ifi.dbs.elki.math: Class to find the minimum and maximum int values in data.
IntegerMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Constructor without starting values.
IntegerMinMax(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Constructor with predefined minimum and maximum values.
IntegerObjectHeap<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Basic in-memory heap interface, for int keys and Object values.
IntegerObjectHeap.UnsortedIter<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerObjectMaxHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Binary heap for int keys and Object values.
IntegerObjectMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Constructor, with default size.
IntegerObjectMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Constructor, with given minimum size.
IntegerObjectMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerObjectMinHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Binary heap for int keys and Object values.
IntegerObjectMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap: Constructor, with default size.
IntegerObjectMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap: Constructor, with given minimum size.
IntegerObjectMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
IntegerRankTieNormalization - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise: Normalize vectors according to their rank in the attributes.
IntegerRankTieNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization: Constructor.
IntegerRankTieNormalization.Sorter - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise: Class to sort an index array by a particular dimension.
IntegerSerializer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.IntegerSerializer: Constructor.
IntegerVector - Class in de.lmu.ifi.dbs.elki.data: Vector type using int[] storage.
IntegerVector(int[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector: Private constructor.
IntegerVector(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector: Create an IntegerVector consisting of the given integer values.
IntegerVector.Factory - Class in de.lmu.ifi.dbs.elki.data: Factory for integer vectors.
IntegerVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
IntegerVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
IntegerVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class for dense integer vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
IntegerVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class for variable dimensionality by using VarInt encoding.
integrityCheck(AbstractMTree<O, N, E, ?>, E) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode: Tests this node (for debugging purposes).
integrityCheck(AbstractRStarTree<N, E, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Tests this node (for debugging purposes).
integrityCheckParameters(E, N, int, AbstractMTree<O, N, E, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(MkAppEntry, MkAppTreeNode<O>, int, AbstractMTree<O, MkAppTreeNode<O>, MkAppEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
integrityCheckParameters(MkCoPEntry, MkCoPTreeNode<O>, int, AbstractMTree<O, MkCoPTreeNode<O>, MkCoPEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
integrityCheckParameters(MkMaxEntry, MkMaxTreeNode<O>, int, AbstractMTree<O, MkMaxTreeNode<O>, MkMaxEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode: Calls the super method and tests if the k-nearest neighbor distance of this node is correctly set.
integrityCheckParameters(MkTabEntry, MkTabTreeNode<O>, int, AbstractMTree<O, MkTabTreeNode<O>, MkTabEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(N, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(DeLiCluNode, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(RdKNNNode, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode: Tests, if the parameters of the entry representing this node, are correctly set.
interestingness - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration: Interestingness measure to be used.
InterestingnessMeasure - Interface in de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest: Interface for interestingness measures.
interestMeasure - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Parameterizer: Parameter for interestingness measure.
INTERESTMEASURE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Parameterizer: Parameter to specify the interestingness measure to be used.
interleaveBits(long[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
interleaveBits(int[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
interleaveBits(short[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
interleaveBits(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Select the "iter" highest bit from each dimension.
INTERNAL_HEADER_SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Size of the classes header size.
INTERNAL_MIME_TYPE - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: Mime type
INTERNAL_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: ELKI internal thumbnail protocol prefix
INTERNAL_PROTOCOL - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: ELKI internal thumbnail protocol id.
internalErrors - Variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors: The errors that occurred.
internalGetIndex() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDRef: Internal only: Get the internal index.
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID: Return the integer value of the object ID.
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
internalGetIndex() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRef: Return the integer value of the object ID.
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
internalIntersection(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Compute the set intersection of two sets.
internalIntersectionSize(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Compute the set intersection size of two sets.
InternalParameterizationErrors - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling: Pseudo error class that wraps multiple error reports into one.
InternalParameterizationErrors(String, Collection<? extends Exception>) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors: Constructor.
InternalParameterizationErrors(String, Exception) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors: Constructor.
InternalParsedURLData(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry.InternalParsedURLData: Constructor.
internalSetIndex(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar: Internal set to integer.
intersect(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Compute whether two vectors intersect.
intersect(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Test whether two Bitsets intersect.
intersect(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Test whether two Bitsets intersect.
intersection(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Calculate the intersection of the two MBRs or null if they do not intersect.
intersection(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Compute the set intersection of two sets.
intersectionMatrix(int[][], ArrayList<int[]>, ArrayList<int[]>, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure: Intersect the two 1d grid decompositions, to obtain a 2d matrix.
intersectionSize(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Compute the vector intersection size.
intersectionSize(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Compute the set intersection size of two sets.
intersectionSize(int[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure: Compute the intersection of two sorted integer lists.
intersectionSize(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Compute the intersection size of two Bitsets.
intersectionSize(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Compute the intersection size of two Bitsets.
intersects(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Returns true if the two SpatialComparables intersect, false otherwise.
intersects2DIncomplete(Polygon) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon: Simple polygon intersection test.
intervalID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Holds the unique id of this interval.
IntGenerator - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.range: Generators of integer ranges.
IntGeneratorParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying ranges of integer values.
IntGeneratorParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntGeneratorParameter: Constructs an integer list parameter
IntGeneratorParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntGeneratorParameter: Constructs an integer list parameter
IntIntPair - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Pair storing two integers.
IntIntPair(int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: Constructor
IntListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a list of integer values.
IntListParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter: Constructs an integer list parameter
IntListParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter: Constructs an integer list parameter
IntOpenHashSet() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet: Constructor.
IntOpenHashSet(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet: Constructor.
intp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction: Integer value of p.
IntParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying an integer value.
IntParameter(OptionID, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter: Constructs an integer parameter with the given optionID.
IntParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter: Constructs an integer parameter with the given optionID.
IntrinsicDimensionalityEstimator - Interface in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Estimate the intrinsic dimensionality from a distance list.
IntrinsicDimensionalityOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic: Use intrinsic dimensionality for outlier detection.
IntrinsicDimensionalityOutlier(DistanceFunction<? super O>, int, IntrinsicDimensionalityEstimator) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier: Constructor.
IntrinsicDimensionalityOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic: Parameterization class.
IntrinsicNearestNeighborAffinityMatrixBuilder<O> - Class in de.lmu.ifi.dbs.elki.algorithm.projection: Build sparse affinity matrix using the nearest neighbors only, adjusting for intrinsic dimensionality.
IntrinsicNearestNeighborAffinityMatrixBuilder(DistanceFunction<? super O>, double, IntrinsicDimensionalityEstimator) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.projection.IntrinsicNearestNeighborAffinityMatrixBuilder: Constructor.
IntrinsicNearestNeighborAffinityMatrixBuilder.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.projection: Parameterization class.
intValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
intValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns the value in the specified dimension as int.
intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector: Deprecated.
intValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterIntValue(int).
intValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.IntegerDataStore: Retrieves a value from the storage.
intValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
intValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
intValue() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance: Get the variables value.
intValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter: Get the parameter value as integer
inv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation: the inverse transformation
invalid() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory: Get the invalid DBID value, usable as "undefined" placeholder.
invalid() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Get the invalid special ID.
invalid - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory: Invalid ID.
invalid() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
INVALID_EXPONENT - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil: Preallocated exceptions.
InvalidCSS(String) - Constructor for exception de.lmu.ifi.dbs.elki.visualization.css.CSSClass.InvalidCSS: Constructor.
invbase - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution: Inverse of base, for faster division by multiplication.
inverse() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Find the inverse matrix.
inverse() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition: Find the inverse matrix.
inverse(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Matrix inverse or pseudoinverse
inverse - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution: Integer inverse
inverse(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution: Compute the inverse with respect to the given base.
inverseDensities - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS: Inverse Densities correspond to average distances in point set of projections
InverseDocumentFrequencyNormalization<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise: Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).
InverseDocumentFrequencyNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: Constructor.
InverseGaussianDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Inverse Gaussian distribution aka Wald distribution.
InverseGaussianDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.InverseGaussianDistribution: Constructor for wald distribution
InverseGaussianDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.InverseGaussianDistribution: Constructor for wald distribution
InverseGaussianDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.InverseGaussianDistribution: Constructor for Gaussian distribution
InverseGaussianDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
InverseGaussianMLEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate parameter of the inverse Gaussian (Wald) distribution.
InverseGaussianMLEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator
InverseGaussianMLEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
InverseGaussianMOMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Estimate parameter of the inverse Gaussian (Wald) distribution.
InverseGaussianMOMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator
InverseGaussianMOMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator: Parameterization class.
InverseLinearWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions: Inverse Linear Weight Function.
InverseLinearWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.InverseLinearWeight
InverseProportionalStddevWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions: Inverse proportional weight function, scaled using the standard deviation. 1 / (1 + distance/stddev)
InverseProportionalStddevWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.InverseProportionalStddevWeight
InverseProportionalWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions: Inverse proportional weight function, scaled using the maximum. 1 / (1 + distance/max)
InverseProportionalWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.InverseProportionalWeight
inversePurity() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity: Get the set matchings inverse purity (second:first clustering) (normalized, 1 = equal)
invert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel: Invert the result
invert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer
INVERT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer: OptionID for inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore: Inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer: Inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter: Inversion flag
inverted - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer: Inversion flag
inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling: Inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling: Use inverted ranking
inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling: Use inverted ranking
INVERTED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer: Flag parameter for inverted scores.
INVERTEDAXIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance: Clickable area for the axis.
InvertedDistanceSimilarityFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction: Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.
InvertedDistanceSimilarityFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction
InvertedOutlierScoreMeta - Class in de.lmu.ifi.dbs.elki.result.outlier: Class to signal a value-inverted outlier score, i.e. low values are outliers.
InvertedOutlierScoreMeta(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta: Constructor with all values.
InvertedOutlierScoreMeta(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta: Constructor with range values.
InvertedOutlierScoreMeta(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta: Constructor with actual range only.
invertedRows - Variable in class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInversionsModel: The ids of inverted rows.
invertI(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Invert v in-place.
invertRow(int, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
invf - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel: Model parameters: flattening, inverse flattening.
invgrayC(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...
invgrayI(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...
invLogExpansion - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree: Logarithm base.
invokeBundleFilters(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection: Transforms the specified list of objects and their labels into a list of objects and their associations.
invokeLater(Runnable) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner: Add a new update to run at any appropriate time.
invokeStreamFilters(BundleStreamSource) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection: Transforms the specified list of objects and their labels into a list of objects and their associations.
invokeTextWriter() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Save/export the current plot.
invp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: p parameter and its inverse.
invp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction: P parameter and its inverse.
INVSCALE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Inverse scaling constant.
ipowi(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Fast loop for computing pow(x, p) for p >= 0 integer and x integer.
irow - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Row and column bitmasks.
isAngularDistance(AbstractMaterializeKNNPreprocessor<?>) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization: Test whether the given preprocessor used an angular distance function
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation
isAssignableFrom(Object) - Method in interface de.lmu.ifi.dbs.elki.data.type.TypeInformation: Test whether this type is assignable from a given object instance.
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation
isAssignableFromType(TypeInformation) - Method in interface de.lmu.ifi.dbs.elki.data.type.TypeInformation: Test whether this type is assignable from another type.
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation
isAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Returns true if this unit is already assigned to a cluster.
isAxisInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Get inversion flag of axis.
isAxisInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
isAxisVisible(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Test whether the current axis is visible
isAxisVisible(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AkaikeInformationCriterion
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterion
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterionZhao
isBetter(double, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.KMeansQualityMeasure: Compare two scores.
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterMeanDistanceQualityMeasure
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterVarianceQualityMeasure
isCellEditable(int, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel
isCellEditable(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow.DatabaseTableModel
isChecked() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Return the checkmark status.
isClockwise(List<double[]>) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: Verify that the triangle is clockwise
isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily
isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily
isCompatible(DistanceFunction<?>) - Method in interface de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.LocalitySensitiveHashFunctionFamily: Check whether the given distance function can be accelerated using this hash family.
isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily
isCompatibleURL(ParsedURL) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
isCompatibleURLStatic(ParsedURL) - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: Test for a compatible URL.
isComplete() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: Test if this tab is complete
isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress: Test whether the progress was completed.
isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress: Return whether the progress is complete
isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress
isComplete() - Method in interface de.lmu.ifi.dbs.elki.logging.progress.Progress: Test whether a progress is complete (and thus doesn't need to be shown anymore)
isConnected(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFind: Test if two components are connected.
isConnected(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Test if two components are connected.
isConnected(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
isConnected(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
isConvex(double[], double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: Simple convexity test.
isCorePoint(DBIDRef, T) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate.Instance: Decide whether the point is a core point, based on its neighborhood.
isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Instance
isCorePoint(DBIDRef, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Instance
isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Instance
isDebugging() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'debug' at 'FINE' level.
isDebuggingFine() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'debug' at 'FINE' level This is the same as Logging.isDebugging()
isDebuggingFiner() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'debug' at 'FINER' level
isDebuggingFinest() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'debug' at 'FINEST' level
isDefined() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
isDefined() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Returns true if the value of the option is defined, false otherwise.
isDimHidden(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
isDimInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Get inversion flag of dimension.
isDimInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
isDirty() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage: Returns true if this page is dirty, false otherwise.
isDirty() - Method in interface de.lmu.ifi.dbs.elki.persistent.Page: Returns true if this page is dirty, false otherwise.
isDisabled(String) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Test if a given algorithm is disabled.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs: Test for an empty DBID collection.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap: Test if the heap is empty.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray: Test if the array is empty.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray: Test if the array is empty.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap: Is the heap empty?
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap: Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap: Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap: Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Test for emptiness.
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap: Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap: Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap: Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Test for empty tokens; usually at end of line.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner: Check whether the queue is empty.
isExpandable - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair: Indicates whether this pair is expandable or not.
isFalse() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag: Shorthand for isDefined() && getValue() == false
isFinite(double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Finite (and not NaN) double values.
isFullRank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition: Is the matrix full rank?
isInfo() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'info' aka 'verbose'.
isLabelColumn(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Test if the current column is marked as label column.
isLeaf - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Indicates whether this node is a leaf node.
isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node: True, if the node is a leaf.
isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node: True, if the node is a leaf.
isLeaf() - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node: Returns true if this node is a leaf node, false otherwise.
isLeft(double[], double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: Test whether a point is left of the other wrt. the origin.
isLinked(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: Test if an object is already linked.
isLocalMaximum(double, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC: Test if a point is a local density maximum.
isLoggable(Logging.Level) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Verify if logging is enabled at that particular level.
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
isMetric() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Is this distance function metric (satisfy the triangle inequality)
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MahalanobisDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseSquaredEuclideanDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.FisherRaoDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
isNoise() - Method in class de.lmu.ifi.dbs.elki.data.Cluster: Getter for noise flag.
isNone() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment: Check if this segment contains the pairs that are never clustered by any of the clusterings (all 0).
isNonsingular() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Is the matrix nonsingular?
isNotSpurious(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster: Test if a cluster is spurious.
isNull(Object) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction: Test a value for null.
isOptional() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
isOptional() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Checks if this parameter is an optional parameter.
ISOS<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic: Intrinsic Stochastic Outlier Selection.
ISOS(DistanceFunction<? super O>, int, IntrinsicDimensionalityEstimator) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.ISOS: Constructor.
ISOS.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic: Parameterization class.
isParent(ERiCNeighborPredicate<V>.Instance, Cluster<CorrelationModel>, It<Cluster<CorrelationModel>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC: Returns true, if the specified parent cluster is a parent of one child of the children clusters.
isParent(Relation<V>, Cluster<SubspaceModel>, It<Cluster<SubspaceModel>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Returns true, if the specified parent cluster is a parent of one child of the children clusters.
isQuote(int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Detect quote characters.
isQuoted() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Test if the current string was quoted.
isReferenceResult(Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering: Test if a clustering result is a valid reference result.
isRoot(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Test if a given ID is the root.
isSelected(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Test whether a segment is selected.
isSet() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar: Test if the variable is well-defined.
isSet() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
isSoft() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM
isSolvable() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Checks if a solved system is solvable.
isSolvable(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Checks solvability of this linear equation system with the chosen method.
isSolved() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Tests if system has already been tested for solvability.
isspd - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition: Symmetric and positive definite flag.
isSPD() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition: Is the matrix symmetric and positive definite?
isSpurious(HDBSCANHierarchyExtraction.TempCluster, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Instance: Spurious, also for non-materialized clusters.
isSpurious(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Test if a cluster is spurious.
isSquared - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: Flag to indicate squared distances.
isSquared - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: Flag for squared distances.
isSquared() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: Get the flag for squared distances.
isSquared - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance: Indicates whether the distance function is squared.
isSquared() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance: Get if the distance function is squared.
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction
isSquared() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Squared distances, that would become metric after square root.
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MahalanobisDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedQuadraticDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseSquaredEuclideanDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDiscriminationDistanceFunction
isSquared() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDistanceFunction
isStarted() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Test whether the path drawing has already started.
isStatistics() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'statistics'.
isSubspace(Subspace) - Method in class de.lmu.ifi.dbs.elki.data.Subspace: Returns true if this subspace is a subspace of the specified subspace, i.e.
issuedQueries - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
isSuperset(P3C.Signature) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature: Test whether this is a superset of the other signature.
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter
isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Is this function symmetric?
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringDistanceSimilarityFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction
isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction: Is this function symmetric?
isTestAgainstModel() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain: Return value of the GeneratorMain.testAgainstModel flag.
isTool() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Get the "tool" flag of the visualizer.
isTrue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag: Shorthand for isDefined() && getValue() == true
isUnpaired() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment: Checks if the segment has a cluster with unpaired objects.
isValid() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Test whether the result is defined.
isValid() - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Test whether the result is defined.
isValid(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
isValid(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Checks if the given argument is valid for this option.
isVerbose() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'verbose' aka 'info'.
isVeryVerbose() - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Test whether to log 'veryverbose'.
isVisible() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Get the visibility flag.
isWritable() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Check if the file is writable.
isZero(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Test for the bitstring to be all-zero.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter: Iterator of the real heap.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr: Current position.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr: The actual iterator.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr: Wrapped iterator.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter: Wrapped iterator.
it - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ConcatIt: Current iterator.
it - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.FilteredIt: Iterator in primary hierarchy.
It<O> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator: Object iterator interface.
it - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.SubtypeIt: Iterator in primary hierarchy.
it - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent: Plot item selected
it1 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter: Iterator in primary hierarchy.
it2 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter: Iterator in secondary hierarchy.
item - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset: Trivial item.
item - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Meta information on the visualizers contained.
itemIterator() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Iterate (recursively) over all plot items, including itself.
items - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset: Items, as a bitmask.
items - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset: Items, as a bitmask.
Itemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: Frequent itemset.
Itemset() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset
itemsets - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher: Itemsets to search.
itemsets - Variable in class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult: The supports of all frequent itemsets.
ItemsetSearcher(List<Itemset>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher: Constructor.
iter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering: Iterator to use for more efficient random access.
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder: Get an iterator.
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset: Get an iterator over items, usually the position within an array.
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
iter(int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.projection.AffinityMatrix: Iterator over non-zero features only.
iter(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix
iter(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix
iter - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Iterator to reference data positions.
iter() - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iter() - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector: Iterator over non-zero features only, ascending.
iter() - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Iterator over non-zero features only, ascendingly.
iter() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon: Get an iterator to the double[] contents.
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs: Iterable
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs: Get a DBID iterator (a more efficient API).
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDList
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.HashSetModifiableDBIDs
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayDBIDs
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDs
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs: Get a modifiable DBID iterator (a more efficient API).
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList
iter - Variable in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator: The real iterator.
iter() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.DBIDMap: Get an array iterator, for scanning.
iter() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.RangeMap
iter() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap
iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter: Original Iterator
iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter: Original iterator.
iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter: Original Iterator
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram: Get an iterator over all histogram bins.
Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram
Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram.Iter
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.Histogram: Get an iterator over all histogram bins.
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram
Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram.Iter
Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator: Iterator interface for more than one return value.
ITER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE.Parameterizer: Number of iterations to execute.
ITER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.Parameterizer: Number of iterations to execute.
ITER_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory.Parameterizer: maximum number of iterations
ITER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer: Number of iterations.
IterableIt<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator: ELKI style Iterator wrapper for collections.
IterableIt(Iterable<O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.IterableIt: Constructor.
IterableResult<O> - Interface in de.lmu.ifi.dbs.elki.result: Interface of an "iterable" result (e.g. a list, table) that can be printed one-by-one.
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset: Advance the iterator to the next position.
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
iterAdvance(int, int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.projection.AffinityMatrix: Advance the iterator to the next position.
iterAdvance(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix
iterAdvance(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iterAdvance(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector: Advance the iterator to the next position.
iterAll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterAll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over all members.
iterAncestors(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterAncestors(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate ancestors (recursive parents)
iterAncestorsSelf(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterAncestorsSelf(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate ancestors (recursive parents) and self.
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance: Main loop function.
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansCompare.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansLloyd.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMacQueen.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMediansLloyd.Instance
iterate(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SingleAssignmentKMeans.Instance
iterate() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Perform an iteration of the approximation loop.
iterateClass(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.style.ClassStylingPolicy: Iterate over all objects from a given class.
iterateClass(int) - Method in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy
iterateClass(int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
iterations - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE: Number of iterations.
iterations - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE.Parameterizer: Number of iterations.
iterations - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE: Number of iterations.
iterations - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE.Parameterizer: Number of iterations.
iterations - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory: maximum number of iterations
iterations - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent.Factory.Parameterizer: maximum number of iterations
iterations - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NNDescent: maximum number of iterations
iterations - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder: Number of iterations to perform
iterations - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer: Number of iterations to perform
iterator() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepAreaResult
iterator() - Method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.CollectionFromRelation
iterator() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
iterator() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile
iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve: Get an iterator for the curve.
iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve: Get an iterator for the curve.
iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot
iterator() - Method in class de.lmu.ifi.dbs.elki.result.CollectionResult: Implementation of the IterableResult interface, using the backing collection.
iterator() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult
iterator() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
iterator() - Method in interface de.lmu.ifi.dbs.elki.result.IterableResult: Retrieve an iterator for the result.
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
iterByteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterChildren(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterChildren() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec: Iterate over parents.
iterChildren(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) children.
iterChildrenReverse(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterChildrenReverse() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec: Iterate over parents.
iterChildrenReverse(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) children in reverse order.
iterDBIDs(COPACNeighborPredicate.COPACModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Instance
iterDBIDs(DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance
iterDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance
iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Instance
iterDBIDs(T) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.NeighborPredicate.Instance: Add the neighbors to a DBID set
iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Instance
iterDBIDs(DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.SimilarityNeighborPredicate.Instance
iterDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance
iterDBIDs() - Method in interface de.lmu.ifi.dbs.elki.algorithm.projection.AffinityMatrix: Array iterator over the stored objects.
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
iterDBIDs() - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation: Get an iterator access to the DBIDs.
iterDescendants(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterDescendants(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate descendants (recursive children)
iterDescendantsSelf(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterDescendantsSelf(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate descendants (recursive children) and self.
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset: Item at the iterator position.
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
iterDim(int, int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.projection.AffinityMatrix: Get the dimension an iterator points to.
iterDim(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix
iterDim(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
iterDim(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector: Get the dimension an iterator points to.
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
iterDoubleValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
iterFloatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
iterIntValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
iterLongValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
iterParents(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterParents() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec: Iterate over parents.
iterParents(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) parents.
iterParentsReverse(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
iterParentsReverse() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec: Iterate over parents.
iterParentsReverse(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy: Iterate over the (direct) parents in reverse order.
iterRetract(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iterRetract(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector: Retract the iterator to the next position.
iterShortValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector: Get the value of the iterators' current dimension.
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
iterToplevelClusters() - Method in class de.lmu.ifi.dbs.elki.data.Clustering: Iterate over the top level clusters.
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset: Check if the iterator position is valid.
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
iterValid(int, int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.projection.AffinityMatrix: Test the iterator position for validity.
iterValid(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix
iterValid(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
iterValid(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector: Test the iterator position for validity.
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
iterValue(int, int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.projection.AffinityMatrix: Get the value an iterator points to.
iterValue(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.DenseAffinityMatrix
iterValue(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SparseAffinityMatrix
ItmItr() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr: Constructor.
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr: Constructor.
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
Itr(IntIterator) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr: Constructor.
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
Itr(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr: Constructor.
Itr(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr: Constructor.
Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
Itr(IntegerDBIDArrayIter) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr: Constructor.
Itr() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.XYCurve.Itr
Itr() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve.Itr
ItrAll() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
ItrAnc(O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Constructor for descendants-only.
ItrAnc(O, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Constructor with additional element.
ItrChildren() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren
ItrChildrenReverse() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse
ItrDesc(O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc: Constructor for descendants-only.
ItrDesc(O, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc: Constructor with additional element.
ItrParents() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents
ItrParentsReverse() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse
its - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ConcatIt: Iterators
iwidth - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Scaling factor: inverse of width.
iwidth - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations: Image width for pixel output.
iwidth - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer: Width of pixel output formats.
IWIDTH_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer: Parameter to specify the image width of pixel formats
ix - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm: Two iterators to reference to objects.
iy - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm: Two iterators to reference to objects.

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