O-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

O

objaccess - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.CountSortAccesses: Counter for comparisons.
objaccess - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: Counter for comparisons.
objaccess - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree: Counter for comparisons.
objcnt - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization: The number of objects in the dataset.
ObjectBundle - Interface in de.lmu.ifi.dbs.elki.datasource.bundle: Abstract interface for object packages.
ObjectFilter - Interface in de.lmu.ifi.dbs.elki.datasource.filter: Object filters as part of the input step.
ObjectHeap<K> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Basic in-memory heap for Object values.
ObjectHeap.UnsortedIter<K> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
objectID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry: The id of the entry.
objectIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster: The ids of the objects belonging to this cluster.
objectIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster: The ids of the objects belonging to this cluster.
ObjectListParameter<C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter that represents a list of objects (in contrast to a class list parameter, they will be instanced at most once.)
ObjectListParameter(OptionID, Class<?>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter: Constructor with optional flag.
ObjectListParameter(OptionID, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter: Constructor for non-optional.
ObjectNotFoundException - Exception in de.lmu.ifi.dbs.elki.database.datastore: Exception thrown when the requested object was not found in the database.
ObjectNotFoundException(DBID) - Constructor for exception de.lmu.ifi.dbs.elki.database.datastore.ObjectNotFoundException: Object
ObjectParameter<C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter representing a single object.
ObjectParameter(OptionID, Class<?>, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: Constructs a class parameter with the given optionID, restriction class, and default value.
ObjectParameter(OptionID, Class<?>, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: Constructs a class parameter with the given optionID, restriction class, and default value.
ObjectParameter(OptionID, Class<?>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: Constructs a class parameter with the given optionID, restriction class, and optional flag.
ObjectParameter(OptionID, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: Constructs a class parameter with the given optionID, and restriction class.
objects - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNChangeEvent: The ids of the kNNs that were inserted or deleted due to the insertion or removals of objects.
objectsForPCA(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex: Returns the objects to be considered within the PCA for the specified query object.
objectsForPCA(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex
objectsInserted(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
objectsInserted(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Called after new objects have been inserted, updates the materialized neighborhood.
objectsRemoved(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
objectsRemoved(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor: Called after objects have been removed, updates the materialized neighborhood.
ObjHistogram<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Histogram class storing double values.
ObjHistogram(int, double, double, ObjHistogram.BucketFactory<T>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram: Constructor.
ObjHistogram.BucketFactory<T> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Function to make new buckets.
ObjHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram: Iterator class.
objIDs - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment: IDs in segment, for object segments.
objWithId - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Manage objects with an id.
odim - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory: Number of dimensions to use.
odim - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer: Number of dimensions to use.
odim - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Number of dimensions to use.
ODIN<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance: Outlier detection based on the in-degree of the kNN graph.
ODIN(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ODIN: Constructor.
ODIN<O> - Class in tutorial.outlier: Outlier detection based on the in-degree of the kNN graph.
ODIN(DistanceFunction<? super O>, int) - Constructor for class tutorial.outlier.ODIN: Constructor.
ODIN.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance: Parameterization class.
ODIN.Parameterizer<O> - Class in tutorial.outlier: Parameterization class.
of(double...) - Static method in class de.lmu.ifi.dbs.elki.math.Mean: Static helper function.
off - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SingleSubsetArrayAdapter: Offset to return
offerAt(int, E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap
offerAt(int, E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap
offerAt(int, O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap: Offer element at the given position.
OfflineChangePointDetectionAlgorithm - Class in de.lmu.ifi.dbs.elki.algorithm.timeseries: Off-line change point detection algorithm detecting a change in mean, based on the cumulative sum (CUSUM), same-variance assumption, and using bootstrap sampling for significance estimation.
OfflineChangePointDetectionAlgorithm(double, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.timeseries.OfflineChangePointDetectionAlgorithm: Constructor
OfflineChangePointDetectionAlgorithm.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.timeseries: Instance for a single data set.
OfflineChangePointDetectionAlgorithm.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.timeseries: Parameterization class.
offs - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetArrayAdapter: Offsets to return.
offs - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetNumberArrayAdapter: Offsets to return
offset - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance: Grid offset.
offset - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram: Array shift to account for negative indices.
offsets - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher: Offsets into above array, based on length.
ok - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: Flag to indicate that the hull has been computed.
omega_star - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut: Outlier threshold
omitEdge(int[], int[], int[], int) - Static method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit: Partition the data by omitting one edge.
OnDiskArray - Class in de.lmu.ifi.dbs.elki.persistent: On Disc Array storage for records of a given size.
OnDiskArray(File, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Constructor to write a new file.
OnDiskArray(File, int, int, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Constructor to open an existing file.
OnDiskArray(File, int, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Constructor to open an existing file.
OnDiskArrayPageFile<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent: A OnDiskArrayPageFile stores objects persistently that implement the Page interface.
OnDiskArrayPageFile(int, String) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Creates a new OnDiskArrayPageFile from an existing file.
OnDiskArrayPageFileFactory<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent: Page file factory for disk-based page files.
OnDiskArrayPageFileFactory(int, String) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory: Constructor.
OnDiskArrayPageFileFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.persistent: Parameterization class.
OnDiskUpperTriangleMatrix - Class in de.lmu.ifi.dbs.elki.persistent: Class representing an upper triangle matrix backed by an on-disk array of O((n+1)*n/2) size
OnDiskUpperTriangleMatrix(File, int, int, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Constructor to access an existing array.
OnDiskUpperTriangleMatrix(File, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Constructor to access a new array.
ONE_BY_LOG2 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: 1. / log(2)
ONE_BY_SQRTPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Precomputed value of 1 / sqrt(pi).
ONE_BY_SQRTTWOPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Precomputed value of 1 / sqrt(2 * pi).
ONE_SIXTH - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil: Constant to divide by 6 via multiplication.
ONE_THIRD - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: One third.
onebyp - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VALPNormDistance: Value of 1/p for lP norm.
ONEBYPHIINV075 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution: 1 / CDFINV(0.75)
ONEBYSQRT2PI - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScaling: Precomputed static value
OnedimensionalDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.
OnedimensionalDistanceFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction: Constructor.
OnedimensionalDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Parameterization class.
OneDimensionalDoubleVector - Class in de.lmu.ifi.dbs.elki.data: Specialized class implementing a one-dimensional double vector without using an array.
OneDimensionalDoubleVector(double) - Constructor for class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector: Constructor.
OneDimensionalDoubleVector.Factory - Class in de.lmu.ifi.dbs.elki.data: Factory class.
OneDimensionalDoubleVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
OneDimSortBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk: Simple bulk loading strategy by sorting the data along the first dimension.
OneDimSortBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit: Constructor.
OneDimSortBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk: Parameterization class.
ONEHALFPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: 1.5 times Pi.
OneItemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining: Frequent itemset with one element.
OneItemset(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset: Constructor of 1-itemset.
OneItemset(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset: Constructor with initial support.
ones(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Create a vector initialized with "bits" ones.
onesI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: Fill a vector initialized with "bits" ones.
OnlineLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Incremental version of the LOF Algorithm, supports insertions and removals.
OnlineLOF(int, int, DistanceFunction<? super O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF: Constructor.
OnlineLOF.LOFKNNListener - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Encapsulates a listener for changes of kNNs used in the online LOF algorithm.
OnlineLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof: Parameterization class.
onum - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle: Offset in bundle
OPACITY - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Opacity (transparency)
opacStyle - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Opacity
openBuffer() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader: Map the input file.
OpenGL3DParallelCoordinates<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.visualization.parallel3d: Simple JOGL2 based parallel coordinates visualization.
OpenGL3DParallelCoordinates(Layouter3DPC<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates: Constructor.
OpenGL3DParallelCoordinates.Instance<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.visualization.parallel3d: Visualizer instance.
OpenGL3DParallelCoordinates.Instance.Shared<O> - Class in de.lmu.ifi.dbs.elki.visualization.parallel3d: Shared data for visualization modules.
OpenGL3DParallelCoordinates.Instance.State - Enum in de.lmu.ifi.dbs.elki.visualization.parallel3d: States of the UI.
OpenGL3DParallelCoordinates.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.visualization.parallel3d: Parameterization class.
OpenGL3DParallelCoordinates.Settings<O> - Class in de.lmu.ifi.dbs.elki.visualization.parallel3d: Class keeping the visualizer settings.
openStream(File) - Static method in class de.lmu.ifi.dbs.elki.application.cache.PrecomputeDistancesAsciiApplication: Open the output stream, using gzip if necessary.
openStream(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Retrieve the output stream for the given file name.
openStream(String) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Return the objects shared print stream.
openStream(String) - Method in interface de.lmu.ifi.dbs.elki.result.textwriter.StreamFactory: Retrieve a print stream for output using the given label.
openStream(String, Iterator) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry.InternalParsedURLData
openStreamFactory() - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter
openSystemFile(String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Private copy from FileUtil, to avoid cross-dependencies.
openSystemFile(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FileUtil: Try to open a file, first trying the file system, then falling back to the classpath.
optics - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi: The actual algorithm we use.
optics - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.Parameterizer
optics - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization: The plot
OPTICSClusterVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Visualize the clusters and cluster hierarchy found by OPTICS on the OPTICS Plot.
OPTICSClusterVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization: Constructor.
OPTICSClusterVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Instance.
OPTICSCut - Class in de.lmu.ifi.dbs.elki.visualization.opticsplot: Compute a partitioning from an OPTICS plot by doing a horizontal cut.
OPTICSCut() - Constructor for class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSCut: Private constructor.
OPTICSHeap<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: The OPTICS algorithm for density-based hierarchical clustering.
OPTICSHeap(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap: Constructor.
OPTICSHeap.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Instance for processing a single data set.
OPTICSHeap.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Parameterization class.
OPTICSHeapEntry - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Entry in the priority heap.
OPTICSHeapEntry(DBID, DBID, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry: Creates a new entry in a cluster order with the specified parameters.
OPTICSList<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: The OPTICS algorithm for density-based hierarchical clustering.
OPTICSList(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList: Constructor.
OPTICSList.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Instance for processing a single data set.
OPTICSList.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Parameterization class.
OPTICSModel - Class in de.lmu.ifi.dbs.elki.data.model: Model for an OPTICS cluster
OPTICSModel(int, int) - Constructor for class de.lmu.ifi.dbs.elki.data.model.OPTICSModel
OPTICSOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: OPTICS-OF outlier detection algorithm, an algorithm to find Local Outliers in a database based on ideas from OPTICSTypeAlgorithm clustering.
OPTICSOF(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF: Constructor with parameters.
OPTICSOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Parameterization class.
OPTICSPlot - Class in de.lmu.ifi.dbs.elki.visualization.opticsplot: Class to produce an OPTICS plot image.
OPTICSPlot(ClusterOrder, StylingPolicy) - Constructor for class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Constructor, with automatic distance adapter detection.
OPTICSPlotCutVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Visualizes a cut in an OPTICS Plot to select an Epsilon value and generate a new clustering result.
OPTICSPlotCutVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization: Constructor.
OPTICSPlotCutVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Instance.
OPTICSPlotSelectionVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Handle the marker in an OPTICS plot.
OPTICSPlotSelectionVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization: Constructor.
OPTICSPlotSelectionVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Instance.
OPTICSPlotSelectionVisualization.Mode - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Input modes
OPTICSPlotVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Visualize an OPTICS result by constructing an OPTICS plot for it.
OPTICSPlotVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer: Constructor.
OPTICSPlotVisualizer.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Instance.
OPTICSProjection - Class in de.lmu.ifi.dbs.elki.visualization.projections: OPTICS projection.
OPTICSProjection(OPTICSProjector) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.OPTICSProjection: Constructor.
OPTICSProjector - Class in de.lmu.ifi.dbs.elki.visualization.projector: Projection for OPTICS plots.
OPTICSProjector(ClusterOrder) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector: Constructor.
OPTICSProjectorFactory - Class in de.lmu.ifi.dbs.elki.visualization.projector: Produce OPTICS plot projections
OPTICSProjectorFactory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjectorFactory: Constructor.
OPTICSSteepAreaVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Visualize the steep areas found in an OPTICS plot
OPTICSSteepAreaVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization: Constructor.
OPTICSSteepAreaVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Instance
OPTICSTypeAlgorithm - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Interface for OPTICS type algorithms, that can be analyzed by OPTICS Xi etc.
OPTICSXi - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Extract clusters from OPTICS Plots using the original Xi extraction.
OPTICSXi(OPTICSTypeAlgorithm, double, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi: Constructor.
OPTICSXi(OPTICSTypeAlgorithm, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi: Constructor.
OPTICSXi.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Parameterization class.
OPTICSXi.SteepArea - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Data structure to represent a steep-down-area for the xi method.
OPTICSXi.SteepAreaResult - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Result containing the chi-steep areas.
OPTICSXi.SteepDownArea - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Data structure to represent a steep-down-area for the xi method.
OPTICSXi.SteepScanPosition - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Position when scanning for steep areas
OPTICSXi.SteepUpArea - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics: Data structure to represent a steep-down-area for the xi method.
optimalBandwidth(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator: Compute optimal kernel bandwidth
optimize(int, int, double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
optimizeSNE(AffinityMatrix, double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.SNE: Perform the actual tSNE optimization.
optimizetSNE(AffinityMatrix, double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE: Perform the actual tSNE optimization.
optimizetSNE(AffinityMatrix, double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE: Perform the actual tSNE optimization.
option - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: Parameter we are currently editing.
option - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization.ParameterPair: Option key.
OPTION_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization: Prefix of option markers on the command line.
optionalParameter - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter: Specifies if this parameter is an optional parameter.
OptionID - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling: An OptionID is used by option handlers as a unique identifier for specific options.
OptionID(String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: Constructor.
optionid - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter: The option name.
options - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Tracking storage
options - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.SimpleMenuOverlay: Options to display.
OptionUtil - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling: Utility functions related to Option handling.
OptionUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil: Fake constructor.
ORCLUS<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: ORCLUS: Arbitrarily ORiented projected CLUSter generation.
ORCLUS(int, int, int, double, RandomFactory, PCARunner) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Java constructor.
ORCLUS.ORCLUSCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Encapsulates the attributes of a cluster.
ORCLUS.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Parameterization class.
ORCLUS.ProjectedEnergy - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Encapsulates the projected energy for a cluster.
ORCLUSCluster() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster: Creates a new empty cluster.
ORCLUSCluster(double[], DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster: Creates a new cluster containing the specified object o.
order - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: Store merge order.
order(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder: Use the cluster order to sort the given collection ids.
order - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS: Result: output order of points
order(DBIDs) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore
order(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.result.OrderingResult: Sort the given ids according to this ordering and return an iterator.
order(DBIDs) - Method in class de.lmu.ifi.dbs.elki.result.outlier.OrderingFromRelation
ordering - Variable in class de.lmu.ifi.dbs.elki.result.outlier.OutlierResult: Outlier ordering.
OrderingFromDataStore<T extends java.lang.Comparable<T>> - Class in de.lmu.ifi.dbs.elki.result: Result class providing an ordering backed by a hashmap.
OrderingFromDataStore(String, String, DBIDs, DataStore<? extends T>, Comparator<T>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore: Constructor with comparator
OrderingFromDataStore(String, String, DBIDs, DataStore<? extends T>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore: Constructor without comparator
OrderingFromDataStore(String, String, DBIDs, DataStore<? extends T>) - Constructor for class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore: Minimal Constructor
OrderingFromRelation - Class in de.lmu.ifi.dbs.elki.result.outlier: Ordering obtained from an outlier score.
OrderingFromRelation(DoubleRelation, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.OrderingFromRelation: Constructor for outlier orderings
OrderingFromRelation(DoubleRelation) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.OrderingFromRelation: Ascending constructor.
OrderingResult - Interface in de.lmu.ifi.dbs.elki.result: Interface for a result providing an object ordering.
orderMeans() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansAnnulus.Instance: Recompute the separation of cluster means.
orep - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: Object label representation
orI(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: OR o onto v in-place, i.e. v |= o
orI(long[], long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil: OR o onto v in-place, i.e. v |= (o << off) Note: Bits that are shifted outside of the size of v are discarded.
Orientation() - Constructor for enum de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Orientation
originV - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Separation: Origin vector
orOnto(long[]) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Combine onto v using the OR operation, i.e.
ort - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition: Working storage for nonsymmetric algorithm.
orthes() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition: Nonsymmetric reduction to Hessenberg form.
orthonormalize(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Returns an orthonormalization of this matrix.
OstrovskyInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Ostrovsky initial means, a variant of k-means++ that is expected to give slightly better results on average, but only works for k-means and not for, e.g., PAM (k-medoids).
OstrovskyInitialMeans(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.OstrovskyInitialMeans: Constructor.
OstrovskyInitialMeans.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Parameterization class.
out - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures: "OUT"
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.PrecomputeDistancesAsciiApplication: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.cache.PrecomputeDistancesAsciiApplication.Parameterizer: Output file.
out - Variable in class de.lmu.ifi.dbs.elki.application.experiments.VisualizeGeodesicDistances: Holds the file to print results to.
out - Variable in class de.lmu.ifi.dbs.elki.application.experiments.VisualizeGeodesicDistances.Parameterizer: Holds the file to print results to.
out - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Output stream for non-critical output.
out - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor.Instance: Output data store
out - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor: Output channel to write to
out - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter: Holds the file to print results to.
out - Variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer: Holds the file to print results to.
OUT_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer: Output file name parameter.
outclass - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass: Class to set when out
outfile - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication: Output filename.
outfile - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer: Output filename.
outfile - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Output file
outfile - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer: Output destination file
outfile - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: Output file name
outfile - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer: Output destination file
OUTLIER_PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer: The pattern to match outliers with.
outlierAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: Outlier detection algorithm.
outlierAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer: Holds the value of HiCS.Parameterizer.ALGO_ID.
OutlierAlgorithm - Interface in de.lmu.ifi.dbs.elki.algorithm.outlier: Generic super interface for outlier detection algorithms.
OutlierGammaScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling that can map arbitrary values to a probability in the range of [0:1] by assuming a Gamma distribution on the values.
OutlierGammaScaling(boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling: Constructor.
OutlierGammaScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Parameterization class.
OutlierLinearScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling that can map arbitrary values to a value in the range of [0:1].
OutlierLinearScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Constructor.
OutlierLinearScaling(Double, Double, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Constructor.
OutlierLinearScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Parameterization class.
OutlierMinusLogScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling function to invert values by computing -log(x) Useful for example for scaling ABOD, but see MinusLogStandardDeviationScaling and MinusLogGammaScaling for more advanced scalings for this algorithm.
OutlierMinusLogScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling: Constructor.
OutlierPrecisionAtKCurve - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Compute a curve containing the precision values for an outlier detection method.
OutlierPrecisionAtKCurve(Pattern, int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve: Constructor.
OutlierPrecisionAtKCurve.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Parameterization class.
OutlierPrecisionAtKCurve.PrecisionAtKCurve - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Precision at K curve.
OutlierPrecisionRecallCurve - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Compute a curve containing the precision values for an outlier detection method.
OutlierPrecisionRecallCurve(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve: Constructor.
OutlierPrecisionRecallCurve.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Parameterization class.
OutlierPrecisionRecallCurve.PRCurve - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: P/R Curve
OutlierRankingEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Evaluate outlier scores by their ranking
OutlierRankingEvaluation(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation: Constructor.
OutlierRankingEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Parameterization class.
OutlierResult - Class in de.lmu.ifi.dbs.elki.result.outlier: Wrap a typical Outlier result, keeping direct references to the main result parts.
OutlierResult(OutlierScoreMeta, DoubleRelation) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.OutlierResult: Constructor.
OutlierROCCurve - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.
OutlierROCCurve(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve: Constructor.
OutlierROCCurve.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Parameterization class.
OutlierROCCurve.ROCResult - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Result object for ROC curves.
OutlierScaling - Interface in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Interface for scaling functions used by Outlier evaluation such as Histograms and visualization.
OutlierScoreAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter: This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !
OutlierScoreAdapter(OutlierResult) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter: Constructor.
OutlierScoreMeta - Interface in de.lmu.ifi.dbs.elki.result.outlier: Generic meta information about the value range of an outlier score.
OutlierSmROCCurve - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Smooth ROC curves are a variation of classic ROC curves that takes the scores into account.
OutlierSmROCCurve(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve: Constructor.
OutlierSmROCCurve.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Parameterization class.
OutlierSmROCCurve.SmROCResult - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Result object for Smooth ROC curves.
OutlierSqrtScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling that can map arbitrary positive values to a value in the range of [0:1].
OutlierSqrtScaling(Double, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Constructor.
OutlierSqrtScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Parameterization class.
OutlierThresholdClustering - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Pseudo clustering algorithm that builds clusters based on their outlier score.
OutlierThresholdClustering(ScalingFunction, double[]) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering: Constructor.
OutlierThresholdClustering.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.outlier: Parameterization helper
output - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor.Instance: Output variable
output - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor: Output variable
output - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations: Output folder
output - Variable in class de.lmu.ifi.dbs.elki.result.ExportVisualizations.Parameterizer: Output folder
output(Database, Result, StreamFactory, Pattern) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Stream output.
OUTPUT_ACCURACY_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer: Parameter to specify the threshold for output accuracy fraction digits, must be an integer equal to or greater than 0.
OUTPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer: Parameter that specifies the name of the output file.
OUTPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer: OptionID for the application output file/folder.
outputAccuracy - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer: Output accuracy.
outputArea - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Logging output area.
outputArea - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: Logging output area.
outputFile - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Output file.
outputFile - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec.Parameterizer: Output file.
outputFile - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper: Output file.
outputFile - Variable in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper.Parameterizer: Output file.
OutputFormat() - Constructor for enum de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.OutputFormat
outputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask: The output/visualization step
outputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer
OutputStep - Class in de.lmu.ifi.dbs.elki.workflow: The "output" step, where data is analyzed.
OutputStep(List<? extends ResultHandler>) - Constructor for class de.lmu.ifi.dbs.elki.workflow.OutputStep: Constructor.
OutputStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow: Parameterization class.
OutputStreamLogger - Class in de.lmu.ifi.dbs.elki.logging: Class to write to Output Streams, IGNORING OutputStreamLogger.close(), with a special newline handling and always flushing.
OutputStreamLogger(OutputStream) - Constructor for class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Constructor.
OutputStreamLogger(OutputStream, String) - Constructor for class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Constructor.
OutputStreamLogger(OutputStream, Charset) - Constructor for class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Constructor.
OutputStreamLogger(OutputStream, CharsetEncoder) - Constructor for class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Constructor.
OutputTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels: Panel to handle result output / visualization
OutputTabPanel(InputTabPanel, EvaluationTabPanel) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel: Constructor.
OutRankS1 - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace: OutRank: ranking outliers in high dimensional data.
OutRankS1(SubspaceClusteringAlgorithm<? extends SubspaceModel>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1: Constructor.
OutRankS1.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace: Parameterization class.
OUTRES - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace: Adaptive outlierness for subspace outlier ranking (OUTRES).
OUTRES(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: Constructor.
OUTRES.KernelDensityEstimator - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace: Kernel density estimation and utility class.
OUTRES.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace: Parameterization class.
outresScore(int, long[], DBIDRef, OUTRES.KernelDensityEstimator, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES: Main loop of OUTRES.
outs - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel: The data input configured
outStream - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Actual stream to write to.
outTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: Output panel.
overclass - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass: Class to set when over
OVERFLOW_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer: Overflow treatment.
overflown - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance: Indicates that the number of grid cells has overflown.
overflowTreatment(N, IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Treatment of overflow in the specified node: if the node is not the root node and this is the first call of overflowTreatment in the given level during insertion the specified node will be reinserted, otherwise the node will be split.
overflowTreatment - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.RTreeSettings: Overflow treatment.
OverflowTreatment - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow: Reinsertion strategy to resolve overflows in the RStarTree.
overlap(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Computes the volume of the overlapping box between two SpatialComparables.
overview - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent: Parent overview plot.
overview - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: The overview plot.
OVERVIEW_REFRESHED - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Event when the overview plot was refreshed.
OVERVIEW_REFRESHING - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Event when the overview plot started refreshing.
overviewItem - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu: The "Overview" button, which goes to the overview view.
OverviewPlot - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: Generate an overview plot for a set of visualizations.
OverviewPlot(VisualizerContext, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Constructor.
OVERWRITE_OPTION_ID - Static variable in class de.lmu.ifi.dbs.elki.result.ResultWriter.Parameterizer: Flag to suppress overwrite warning.
overwriteTimes(double[], double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Multiply component-wise v1 = v2 * s, overwriting the vector v1.
owner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackedParameter: Option ID
owner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Current parent for nested parameterization
owner - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Owner.

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