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

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E nvironment for
Deve L oping
K DD-Applications
Supported by I ndex-Structures

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C

c - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Holds the value of GaussianUniformMixture.C_PARAM.
c - Static variable in class de.lmu.ifi.dbs.elki.math.ErrorFunctions
C_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: OptionID for GaussianUniformMixture.C_PARAM
C_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Parameter to specify the cutoff, Key: -mmo.c
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
cache - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction: Cache for objects not handled by the preprocessor
Cache<P extends Page<P>> - Interface in de.lmu.ifi.dbs.elki.persistent: Defines the requirements for a cache that stores objects implementing the Page interface.
cache - Variable in class de.lmu.ifi.dbs.elki.persistent.PageFile: The cache of this file.
cache - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Cache
CACHE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: OptionID for CacheDoubleDistanceInOnDiskMatrix.CACHE_PARAM
CACHE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: OptionID for CacheFloatDistanceInOnDiskMatrix.CACHE_PARAM
CACHE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Parameter that specifies the name of the directory to be re-parsed.
CACHE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Parameter that specifies the name of the directory to be re-parsed.
CACHE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: OptionID for TreeIndex.CACHE_SIZE_PARAM
CACHE_SIZE_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.
CACHED_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID: The association id to associate an arbitrary matrix of an object.
CachedFile<P extends Page<P>> - Interface in de.lmu.ifi.dbs.elki.persistent: Defines the requirements for an underlying file of a cache that stores objects implementing the Page interface.
CacheDoubleDistanceInOnDiskMatrix<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.application.cache: Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.
CacheDoubleDistanceInOnDiskMatrix(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Constructor, adhering to Parameterizable
CacheFloatDistanceInOnDiskMatrix<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.application.cache: Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.
CacheFloatDistanceInOnDiskMatrix(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Constructor, adhering to Parameterizable
cacheIndex - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap: The index of this deap in the cachePath of the persistent heap.
cacheIndex(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: Returns the cache index of the specified index if the index would be in cache.
cachePath - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: The actual path of this heap in main memory.
cachesize - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction
cacheSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Holds the value of TreeIndex.CACHE_SIZE_PARAM.
cacheSize - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache: The maximum number of objects in this cache.
calcCos(KernelMatrix<V>, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: Compute the cosinus value between vectors aKey and bKey.
calcDenominator(KernelMatrix<V>, Integer, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcDistsandNN(Database<V>, KernelMatrix<V>, int, Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcDistsandRNDSample(Database<V>, KernelMatrix<V>, int, Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcFastNormalization(Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcNormalization(Integer, HashMap<Integer, Double>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcNumerator(KernelMatrix<V>, Integer, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcScales(Database<O>) - Static method in class de.lmu.ifi.dbs.elki.visualization.scales.Scales: Compute a linear scale for each dimension.
candidates - Variable in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic: The number of candidate objects which need a refinement.
canPlot(ClusterOrderResult<D>) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.OPTICSPlotVisualizer: Test whether we have an adapter for this cluster orders distance.
canVisualize(VisualizerContext) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.AlgorithmAdapter: Returns true if the adapter can provide one or more Visualizers for the given Result, else false.
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusteringAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusterOrderAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.CurveAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.DefaultAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.HistogramAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.OutlierScoreAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ReferencePointsAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.RStarTreeAdapter
canVisualize(VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeMBRVisualizer: Test for a visualizable index in the context's database.
CARRIAGE_RETURN - Static variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Carriage return character.
CASH - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Provides the CASH algorithm, an subspace clustering algorithm based on the hough transform.
CASH(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Constructor, adhering to Parameterizable
CASHInterval - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash: Provides a unique interval represented by its id, a hyper bounding box representing the alpha intervals, an interval of the corresponding distance, and a set of objects ids associated with this interval.
CASHInterval() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Empty constructor for Externalizable interface.
CASHInterval(double[], double[], CASHIntervalSplit, Set<Integer>, int, int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Provides a unique interval represented by its id, a hyper bounding box and a set of objects ids associated with this interval.
CASHIntervalSplit - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash: Supports the splitting of CASH intervals.
CASHIntervalSplit(Database<ParameterizationFunction>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: Initializes the logger and sets the debug status to the given value.
castWithGenericsOrNull(Class<B>, Object) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Cast an object at a base class, but return a subclass (for Generics!).
cdiv(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
cdivi - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
cdivr - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
center - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODModel
centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction
centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
centerDistance(HyperBoundingBox, HyperBoundingBox) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction: Computes the distance between the centroids of the two given MBRs according to this distance function.
centerKernelMatrix(KernelMatrix<? extends NumberVector<?, ?>>) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix: Centers the Kernel Matrix in Feature Space according to Smola et.
centerMatrix(Matrix) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix: Centers the matrix in feature space according to Smola et.
centerValues - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODModel
centroid - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ORCLUSCluster: The centroid of this cluster.
centroid - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster: The centroids of this cluster along each dimension.
centroid - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: The centroid if the objects belonging to the hyperplane induced by the correlation.
centroid - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel: The centroid of this cluster.
centroid(Database<V>, Collection<Integer>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Returns the centroid as a NumberVector object of the specified objects stored in the given database.
centroid(Database<V>, Collection<Integer>, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Returns the centroid w.r.t. the dimensions specified by the given BitSet as a NumberVector object of the specified objects stored in the given database.
centroid(Database<V>, Iterator<Integer>, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Returns the centroid w.r.t. the dimensions specified by the given BitSet as a NumberVector object of the specified objects stored in the given database.
centroid(Database<O>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Returns the centroid as a NumberVector object of the specified database.
centroid(Matrix) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Returns the centroid as a Vector object of the specified data matrix.
centroid() - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox: Returns the centroid of this HyperBoundingBox.
centroid(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox: Returns the centroid of the specified values of this HyperBoundingBox.
chain - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization: Keep the list of parameterizations.
ChainedParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Class that allows chaining multiple parameterizations.
ChainedParameterization(Parameterization...) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization: Constructor that takes a number of Parameterizations to chain.
charsSinceNewline - Variable in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Flag to signal if we have had a newline recently.
cheatToAvoidSingularity(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Adds a given value to the diagonal entries if the entry is smaller than the constant.
checkClusters(Database<V>, DiSHDistanceFunction<V, DiSHPreprocessor<V>>, Map<BitSet, List<Pair<BitSet, DatabaseObjectGroupCollection<List<Integer>>>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Removes the clusters with size < minpts from the cluster map and adds them to their parents.
checkConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Check a parameter constraint.
checkConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: Check a parameter constraint.
checkConstraint(GlobalParameterConstraint) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization: Check a parameter constraint.
checkConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Check a parameter constraint.
checkConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
checkCSSStatement(String, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Validate a single CSS statement.
checkCSSStatements(Collection<Pair<String, String>>) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Validate a set of CSS statements.
checkDimensions(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Check if this.getDimensionality() == v.getDimensionality().
CheckELKIProperties - Class in de.lmu.ifi.dbs.elki.application.internal: Helper application to test the ELKI properties file for "missing" implementations.
CheckELKIProperties() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties
checkMatrixDimensions(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Check if size(A) == size(B) *
checkName(String) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Verify that the name is an admissible CSS class name.
checkParameterizable(Class<?>, Constructor<?>) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables
CheckParameterizables - Class in de.lmu.ifi.dbs.elki.application.internal: Perform some consistency checks on classes that cannot be specified as Java interface.
CheckParameterizables() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables
checkParameterizables() - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables: Validate all "Parameterizable" objects for parts of the API contract that cannot be specified in Java interfaces (such as constructors, static methods)
checkProperties() - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties: Retrieve all properties and check them.
checkProperty(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties: Check a single property
child - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild: The child to be appended.
children - Variable in class de.lmu.ifi.dbs.elki.data.cluster.SimpleHierarchy: Storage for children
children(TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
children(TreeIndexPath<E>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node: Returns an enumeration of the children paths of this node.
children - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Tree information: child links
chisq - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Chi-Squared information for parameters
chol() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Cholesky Decomposition
CholeskyDecomposition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: Cholesky Decomposition.
CholeskyDecomposition(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition: Cholesky algorithm for symmetric and positive definite matrix.
chooseBulkSplitPoint(int, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit: Computes and returns the best split point.
chooseMaximalExtendedSplitAxis(List<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit: Computes and returns the best split axis.
choosePath(Integer, TreeIndexPath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Chooses the best path of the specified subtree for insertion of the given object.
choosePath(TreeIndexPath<E>, HyperBoundingBox, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Chooses the best path of the specified subtree for insertion of the given mbr at the specified level.
chooseSplitAxis(List<E>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit: Chooses a split axis.
chooseSplitPoint(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit: Chooses a split axis.
CLASS - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID: The association id to associate a class (class label) to an object.
CLASS_LABEL_CLASS_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: OptionID for AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM
CLASS_LABEL_CLASS_PARAM - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Parameter to specify the association of occurring class labels, must extend ClassLabel.
CLASS_LABEL_INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: OptionID for AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM
CLASS_LABEL_INDEX_PARAM - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Optional parameter that specifies the index of the label to be used as class label, must be an integer equal to or greater than 0.
classForName(String) - Method in class de.lmu.ifi.dbs.elki.properties.PropertyName: Returns a class for the given name.
ClassGenericsUtil - Class in de.lmu.ifi.dbs.elki.utilities: Utils for handling class instantiation especially with respect to Java generics.
ClassGenericsUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
ClassLabel - Class in de.lmu.ifi.dbs.elki.data: A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
ClassLabel() - Constructor for class de.lmu.ifi.dbs.elki.data.ClassLabel: ClassLabels need an empty constructor for dynamic access.
classLabelClass - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Holds the value of AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM.
classLabelIndex - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Holds the value of AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM, null if no class label is specified.
ClassListParameter<C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a list of class names.
ClassListParameter(OptionID, Class<?>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: Constructs a class list parameter with the given optionID and restriction class.
ClassListParameter(OptionID, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: Constructs a class list parameter with the given optionID and restriction class.
classNames - Variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations: Class names array
ClassParameter<C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a class name.
ClassParameter(OptionID, Class<?>, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Constructs a class parameter with the given optionID, restriction class, and default value.
ClassParameter(OptionID, Class<?>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Constructs a class parameter with the given optionID, restriction class, and optional flag.
ClassParameter(OptionID, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Constructs a class parameter with the given optionID, and restriction class.
clear() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Clear the current contents.
clear() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Clear the current contents.
clear() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile: Remove all saved settings.
clear() - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache: Clears this cache.
clear() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache: Clears this cache.
clear() - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile: Clears this PageFile.
clear() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Clears this PageFile.
clear() - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile: Clears this PageFile.
clear() - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Clears this PageFile.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Clears the heap.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic: Clears the values of this statistic.
clear() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner: Clear queue.
clearErrors() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Clear errors.
clearReinsertions() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Clears the reinsertions.
clearRkNNStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Clears the values of the statistic for performed rknn queries
clearRkNNStatistics() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Clears the values of the statistic for performed rknn queries
clickisout - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass: Consider a click as 'out'?
CLIConffile - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Configuration file name
clipmax - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
clipmin - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Clipping vectors.
ClipScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling: Scale implementing a simple clipping.
ClipScaling(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: Constructor, adhering to Parameterizable
CLIQUE<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Implementation of the CLIQUE algorithm, a grid-based algorithm to identify dense clusters in subspaces of maximum dimensionality.
CLIQUE(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Constructor, adhering to Parameterizable
CLIQUESubspace<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique: Represents a subspace of the original data space in the CLIQUE algorithm.
CLIQUESubspace(int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Creates a new one-dimensional subspace of the original data space.
CLIQUESubspace(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Creates a new k-dimensional subspace of the original data space.
CLIQUESubspace.CoverageComparator - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique: A partial comparator for CLIQUESubspaces based on their coverage.
CLIQUESubspace.CoverageComparator() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace.CoverageComparator
CLIQUEUnit<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique: Represents a unit in the CLIQUE algorithm.
CLIQUEUnit(SortedSet<Interval>, Set<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Creates a new k-dimensional unit for the given intervals.
CLIQUEUnit(Interval) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Creates a new one-dimensional unit for the given interval.
CLISmartHandler - Class in de.lmu.ifi.dbs.elki.logging: Handler that handles output to the console with clever formatting.
CLISmartHandler(OutputStream, OutputStream) - Constructor for class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Constructor
CLISmartHandler() - Constructor for class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Default constructor using System.out and System.err
clone() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation: Return a clone of the affine transformation
clone() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Clone the Matrix object.
cloneCollection(C) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Clone a collection.
cloneForCache(D) - Method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram.Adapter: Clone a data passed to the algorithm for computing the initial size.
close() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane.LogPaneHandler
close() - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel.LogPanelHandler
close() - Method in interface de.lmu.ifi.dbs.elki.index.Index: Closes this index.
close() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex
close() - Method in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Close output streams.
close() - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Close command - will be IGNORED.
close() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Explicitly close the file.
close() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Closes this file.
close() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Close the matrix file.
close() - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile: Closes this file.
close() - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Closes this file.
close() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: Closes this persistent heap.
close() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Close the visualizer window.
close() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Close the path.
closeAllStreams() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Close (and forget) all output streams.
closeAllStreams() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput: Close output stream.
closeAllStreams() - Method in interface de.lmu.ifi.dbs.elki.result.textwriter.StreamFactory: Close (and forget) all streams the factory has opened.
cluster - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy
Cluster<M extends Model> - Class in de.lmu.ifi.dbs.elki.data.cluster: Generic cluster class, that may or not have hierarchical information.
Cluster(String, DatabaseObjectGroup, boolean, M, HierarchyImplementation<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Full constructor
Cluster(String, DatabaseObjectGroup, boolean, M, List<Cluster<M>>, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor with hierarchy information.
Cluster(String, DatabaseObjectGroup, boolean, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information.
Cluster(String, DatabaseObjectGroup, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information.
Cluster(DatabaseObjectGroup, boolean, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information and name
Cluster(DatabaseObjectGroup, M) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information and name
Cluster(String, DatabaseObjectGroup, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information and model
Cluster(String, DatabaseObjectGroup) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information and model
Cluster(DatabaseObjectGroup, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information and name and model
Cluster(DatabaseObjectGroup) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor without hierarchy information and name and model
Cluster(String, DatabaseObjectGroup, M, HierarchyImplementation<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor with hierarchy but noise flag defaulting to false.
Cluster(String, DatabaseObjectGroup, M, List<Cluster<M>>, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Constructor with hierarchy information, but no noise flag.
CLUSTER - Static variable in class de.lmu.ifi.dbs.elki.data.model.ClusterModel: Static cluster model that can be shared for all clusters (since the object doesn't include meta information.
Cluster.PartialComparator - Class in de.lmu.ifi.dbs.elki.data.cluster: A partial comparator for Clusters, based on their name.
Cluster.PartialComparator() - Constructor for class de.lmu.ifi.dbs.elki.data.cluster.Cluster.PartialComparator
clustering - Variable in class de.lmu.ifi.dbs.elki.data.cluster.naming.SimpleEnumeratingScheme: Clustering this scheme is applied to.
Clustering<M extends Model> - Class in de.lmu.ifi.dbs.elki.data: Result class for clusterings.
Clustering(List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.Clustering: Constructor with a list of top level clusters
Clustering() - Constructor for class de.lmu.ifi.dbs.elki.data.Clustering: Constructor for an empty clustering
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.BubbleVisualizer: A clustering of the database.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusteringVisualizer: Clustering to visualize.
CLUSTERING - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerContext: Identifier for the primary clustering to use.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualizer: The clustering to visualize
CLUSTERING_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.ExceptionMessages: Message when an empty clustering is encountered.
CLUSTERING_FALLBACK - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerContext: Identifier for a fallback (default) clustering.
ClusteringAdapter<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.adapter: Class to add generic clustering visualizations.
ClusteringAdapter(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusteringAdapter: Constructor, adhering to Parameterizable
ClusteringAlgorithm<C extends Clustering<? extends Model>,O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering: Interface for Algorithms that are capable to provide a Clustering as Result.
clusteringVisualizer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusteringAdapter: Visualizer for clusterings (unless doing outliers ...)
ClusteringVisualizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: Visualize a clustering using different markers for different clusters.
ClusteringVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusteringVisualizer
ClusterModel - Class in de.lmu.ifi.dbs.elki.data.model: Generic cluster model.
ClusterModel() - Constructor for class de.lmu.ifi.dbs.elki.data.model.ClusterModel
clusterOrder - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult: Cluster order storage
clusterOrder - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult.ClusterOrderAdapter: Access reference.
CLUSTERORDER - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Clusterorder
ClusterOrderAdapter - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.adapter: Visualize a cluster order by connecting the points with arrows
ClusterOrderAdapter() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusterOrderAdapter: Constructor.
ClusterOrderEntry<D extends Distance<?>> - Class in de.lmu.ifi.dbs.elki.result: Provides an entry in a cluster order.
ClusterOrderEntry(Integer, Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.result.ClusterOrderEntry: Creates a new entry in a cluster order with the specified parameters.
ClusterOrderResult<D extends Distance<?>> - Class in de.lmu.ifi.dbs.elki.result: Class to store the result of an ordering clustering algorithm such as OPTICS.
ClusterOrderResult() - Constructor for class de.lmu.ifi.dbs.elki.result.ClusterOrderResult: Constructor
ClusterOrderResult.ClusterOrderAdapter - Class in de.lmu.ifi.dbs.elki.result: Ordering part of the result.
ClusterOrderResult.ClusterOrderAdapter(ArrayList<ClusterOrderEntry<D>>) - Constructor for class de.lmu.ifi.dbs.elki.result.ClusterOrderResult.ClusterOrderAdapter: Constructor.
ClusterOrderResult.PredecessorAdapter - Class in de.lmu.ifi.dbs.elki.result: Result containing the predecessor ID.
ClusterOrderResult.PredecessorAdapter(HashMap<Integer, ClusterOrderEntry<D>>) - Constructor for class de.lmu.ifi.dbs.elki.result.ClusterOrderResult.PredecessorAdapter: Constructor.
ClusterOrderResult.ReachabilityDistanceAdapter - Class in de.lmu.ifi.dbs.elki.result: Result containing the reachability distances.
ClusterOrderResult.ReachabilityDistanceAdapter(HashMap<Integer, ClusterOrderEntry<D>>) - Constructor for class de.lmu.ifi.dbs.elki.result.ClusterOrderResult.ReachabilityDistanceAdapter: Constructor.
clusterorderVisualizer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusterOrderAdapter: Prototype for parameterization
ClusterOrderVisualizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: Visualize an OPTICS cluster order by drawing connection lines.
ClusterOrderVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterOrderVisualizer
clusterRandom - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Random generator used for initializing cluster generators.
clusters - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain: List of clusters to generate
co - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: The result to plot
co - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.OPTICSPlotVisualizer: Curve to visualize
coeff - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: The matrix of coefficients.
coefficientOfDetermination() - Method in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression: Returns the coefficient of determination
col - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Encodes column permutations, column j is at position col[j].
col - Variable in class de.lmu.ifi.dbs.elki.result.CollectionResult: The collection represented.
colIDs - Variable in class de.lmu.ifi.dbs.elki.data.model.Bicluster: The ids of the rows included in the bicluster.
collectAlgorithmAdapters(Parameterization) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizersForResult: Collect and instantiate all adapters.
CollectionResult<O> - Class in de.lmu.ifi.dbs.elki.result: Simple 'collection' type of result.
CollectionResult(Collection<O>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.CollectionResult: Constructor
CollectionResult(Collection<O>) - Constructor for class de.lmu.ifi.dbs.elki.result.CollectionResult: Constructor
collectionToArray(Collection<T>, T[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Transform a collection to an Array
color - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSColorStatic: Static color to use
COLOR - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Color
COLOR_AXIS_LABEL - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for a typical axis label
COLOR_AXIS_LINE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for a typical axis
COLOR_AXIS_MINOR_TICK - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for a typical axis tick mark
COLOR_AXIS_TICK - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for a typical axis tick mark
COLOR_DEFAULT_VALUE - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: Color for parameters having a default value.
COLOR_INCOMPLETE - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: Color for parameters that are not optional and not yet specified.
COLOR_KEY_BACKGROUND - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for the background of the key box
COLOR_KEY_LABEL - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for a label in the key part
COLOR_LIBRARY - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerContext: Identifier for the main color library to use.
COLOR_LINE_COLORS - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: List of line colors
COLOR_OPTIONAL - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: Color for optional parameters (with no default value)
COLOR_PAGE_BACKGROUND - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Named color for the page background
COLOR_PLOT_BACKGROUND - Static variable in interface de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary: Background color for plot area
COLOR_SYNTAX_ERROR - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: Color for parameters with an invalid value.
COLORHIST_ID - Static variable in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram: Option id to use for computing the histogram.
COLORHIST_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram: Class parameter for computing the color histogram.
ColorLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.colors: Color scheme interface
colorLookupStylesheet - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: CSS Stylesheet from Javax, to parse color values.
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.colors.ListBasedColorLibrary: Array of color names.
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Color adapter to use
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary: The style library we use for colors
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.SolidLineStyleLibrary: Reference to the color library.
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.MinimalMarkers: Color library
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers: Color library
COLORSET - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Color set
colResult - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ReferencePointsVisualizer: Serves reference points.
columndimension - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Column dimension.
columns - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel: Column headers in model
combineComponents(int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite: Helper function that combines separate ARGB values into a single ARGB integer.
comboBox - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DropdownEditor: Combo box to use
COMMENT - Static variable in class de.lmu.ifi.dbs.elki.parser.AbstractParser: The comment character.
comment - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Buffer for comment data to output.
COMMENT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile: Comment prefix
commentPrint(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Print an object into the comments section
commentPrintLn(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Print an object into the comments section with trailing newline.
commentPrintLn() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Print a newline into the comments section.
commentPrintSeparator() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Print a separator line in the comments section.
COMMENTS - Static variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations: Pattern to detect comments
COMMENTSEP - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Comment separator line.
commonPreferenceVector - Variable in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance: The common preference vector of the two objects defining this distance.
comparator - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation: Internal comparator to use for sorting.
comparator - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap: Comparator to use when sorting
comparator() - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a comparator for this pair, given that both components are already comparable.
comparator(Comparator<FIRST>, Comparator<SECOND>) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a derived comparator given a comparator for each component.
comparator - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareByFirst: A comparator for type P.
comparator - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareBySecond: A comparator for type P.
comparatorFirst() - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a comparator by first component for this pair, given that the first component is already comparable.
comparatorFirst(Comparator<FIRST>) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a derived comparator by first component given a comparator for this component.
comparatorSecond() - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a comparator by first component for this pair, given that the first component is already comparable.
comparatorSecond(Comparator<SECOND>) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a derived comparator by first component given a comparator for this component.
comparatorSwapped() - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a component-swapped comparator for this pair, given that both components are already comparable.
comparatorSwapped(Comparator<FIRST>, Comparator<SECOND>) - Static method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil: Return a derived component-swapped comparator given a comparator for each component.
compare(CLIQUESubspace<?>, CLIQUESubspace<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace.CoverageComparator: Compares the two specified CLIQUESubspaces for order.
compare(OptionID, OptionID) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption
compare(Cluster<?>, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.data.cluster.Cluster.PartialComparator
compare(Subspace<?>, Subspace<?>) - Method in class de.lmu.ifi.dbs.elki.data.Subspace.DimensionComparator: Compares the two specified subspaces for order.
compare(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator: Compares the two specified spatial comparables according to the sorting dimension and the comparison value of this Comparator.
compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation.DerivedComparator
compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation.ImpliedComparator
compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap.DerivedComparator
compare(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap.ImpliedComparator
compare(Class<?>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.ClassSorter
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.Compare: Two Objects of type Pair are compared based on the comparison of their property using the comparators PairUtil.Compare.fcomparator, then PairUtil.Compare.scomparator.
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareByFirst: To Objects of type Pair are compared based on the comparison of their property using the current PairUtil.comparator().
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareBySecond: To Objects of type Pair are compared based on the comparison of their property using the current PairUtil.comparator().
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNatural: Compare by first, then by second.
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalFirst: Compare by first component natural ordering
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSecond: Compare by second components natural ordering
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSwapped: Compare by second component, using the ComparableSwapped interface.
compare(Pair<FIRST, SECOND>, Pair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareSwapped: Two Objects of type Pair are compared based on the comparison of their property using the given comparators PairUtil.CompareSwapped.scomparator, then PairUtil.CompareSwapped.fcomparator.
compareClusterings(R, S, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure: Compare two clustering results.
compareClusterings(R, S) - Static method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure: Compare two clustering results.
compareDimension - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator: The dimension for comparison.
compareSwappedTo(DoubleDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair: Implementation of comparableSwapped interface, sorting by second then first.
compareSwappedTo(DoubleIntPair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair: Implementation of comparableSwapped interface, sorting by second then first.
compareSwappedTo(IntDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: Implementation of comparableSwapped interface, sorting by second then first.
compareSwappedTo(IntIntPair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: Implementation of comparableSwapped interface, sorting by second then first.
compareTo(CASHInterval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Compares this object with the specified object for order.
compareTo(ORCLUS<V>.ProjectedEnergy) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy: Compares this object with the specified object for order.
compareTo(Identifiable) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair: Compares this object with the specified object for order.
compareTo(Identifiable) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.COEntry: Compares this object with the specified object for order.
compareTo(SOD.SODModel<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODModel
compareTo(ClassLabel) - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: Compares two HierarchicalClassLabels.
compareTo(Interval) - Method in class de.lmu.ifi.dbs.elki.data.Interval: Compares this interval with the specified interval for order.
compareTo(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber: Compares two RationalNumbers a/b and c/d.
compareTo(ClassLabel) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel: The ordering of two SimpleClassLabels is given by the ordering on the Strings they represent.
compareTo(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance
compareTo(D) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance: Compares this CorrelationDistance with the given CorrelationDistance wrt the represented correlation values.
compareTo(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance
compareTo(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance
compareTo(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance
compareTo(D) - Method in class de.lmu.ifi.dbs.elki.distance.NumberDistance: Compares this NumberDistance with the given NumberDistance wrt the represented value.
compareTo(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance: Checks if the dimensionality values of this distance and the specified distance are equal.
compareTo(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance: Compares this SubspaceDistance with the given SubspaceDistance wrt the represented subspace distance values.
compareTo(DistanceEntry<D, E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry: Compares this object with the specified object for order.
compareTo(Enlargement<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.Enlargement: Compares this Enlargement with the specified Enlargement.
compareTo(EigenPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair: Compares this object with the specified object for order.
compareTo(Identifiable) - Method in class de.lmu.ifi.dbs.elki.result.ClusterOrderEntry: Compares this object with the specified object for order.
compareTo(D) - Method in class de.lmu.ifi.dbs.elki.utilities.ConstantObject: Two constant objects are generally compared by their name.
compareTo(HeapNode<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode: Compares this HeapNode with the specified HeapNode.
compareTo(DefaultIdentifiable) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable: Compares this object with the specified object for order.
compareTo(CPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.CPair: Generic derived compare function.
compareTo(CTriple<FIRST, SECOND, THIRD>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.CTriple: Generic derived compare function.
compareTo(DoubleDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair: Implementation of comparable interface, sorting by first then second.
compareTo(DoubleIntPair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair: Implementation of comparable interface, sorting by first then second.
compareTo(FCPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.FCPair: Generic derived compare function.
compareTo(IntDoublePair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: Implementation of comparable interface, sorting by first then second.
compareTo(IntIntPair) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair: Implementation of comparable interface, sorting by first then second.
compareTo(SCPair<FIRST, SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.SCPair: Generic derived compare function.
COMPARISON_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP: OptionID for LoOP.COMPARISON_DISTANCE_FUNCTION_PARAM
COMPARISON_DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP: The distance function to determine the reachability distance between database objects.
comparisonValue - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator: Indicates the comparison value (min or max).
completeBasis() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Completes this d x c basis of a subspace of R^d to a d x d basis of R^d, i.e. appends c-d columns to this basis.
completed - Variable in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress: Store completion flag.
completeToOrthonormalBasis() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Completes this d x c basis of a subspace of R^d to a d x d basis of R^d, i.e. appends c-d columns to this basis.
component - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer: Component the ratio applies to.
componentResized(ComponentEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer: React to a component resize event.
compose(Raster, Raster, WritableRaster) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext: Compose a raster image (source) and a background (destination) to a result raster.
CompositeEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: The CompositeEigenPairFilter can be used to build a chain of eigenpair filters.
CompositeEigenPairFilter(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter: Constructor, adhering to Parameterizable
computeAUC(Iterable<Pair<Double, Double>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC: compute the Area Under Curve (difference to y axis) for an arbitrary polygon
computeBadMedoids(Map<Integer, PROCLUS<V>.PROCLUSCluster>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Computes the bad medoids, where the medoid of a cluster with less than the specified threshold of objects is bad.
computeClusters(Database<V>, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Computes the hierarchical clusters according to the cluster order.
computeColorHistogram(File) - Method in class de.lmu.ifi.dbs.elki.data.images.AbstractComputeColorHistogram
ComputeColorHistogram - Interface in de.lmu.ifi.dbs.elki.data.images: Interface for color histogram implementations.
computeColorHistogram(File) - Method in interface de.lmu.ifi.dbs.elki.data.images.ComputeColorHistogram: Compute a color histogram given a file name.
computeDensity(List<DistanceResultPair<DoubleDistance>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Computes the density of an object.
computeDiffs(List<CLIQUESubspace<V>>, int[], int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: The specified sorted list of dense subspaces is divided into the selected set I and the pruned set P.
computeDistance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction: Computes the distance between two given real vectors according to this distance function.
computeDistanceVector(V, Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Computes for each object the distance to one reference point.
computeHeight() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Computes the height of this RTree.
computeHeight() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree: Computes the height of this RTree.
ComputeHSBColorHistogram - Class in de.lmu.ifi.dbs.elki.data.images: Compute color histograms in a Hue-Saturation-Brightness model.
ComputeHSBColorHistogram(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram: Constructor, adhering to Parameterizable
computeM_current(Set<Integer>, Set<Integer>, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Computes the set of medoids in current iteration.
computeMeans(List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: The specified sorted list of dense subspaces is divided into the selected set I and the pruned set P.
computeMinMax(Database<NV>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Determines the minimum and maximum values in each dimension of all objects stored in the given database.
ComputeNaiveHSBColorHistogram - Class in de.lmu.ifi.dbs.elki.data.images: Compute color histograms in a Hue-Saturation-Brightness model.
ComputeNaiveHSBColorHistogram(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram: Constructor, adhering to Parameterizable
ComputeNaiveRGBColorHistogram - Class in de.lmu.ifi.dbs.elki.data.images: Compute a (rather naive) RGB color histogram.
ComputeNaiveRGBColorHistogram(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram: Constructor, adhering to Parameterizable
computeOffset(int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Compute the offset within the file.
ComputeOutlierHistogram<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.evaluation.histogram: Compute a Histogram to evaluate a ranking algorithm.
ComputeOutlierHistogram(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram: Constructor, adhering to Parameterizable
computeOutlierScores(Database<O>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: computes an outlier score for each object of the database.
computeOutlierScores(Database<O>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection
computeOutlierScores(Database<O>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore
computeReferencePoints(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Computes the reference points.
computeROCAUCDistanceResult(int, Cluster<?>, List<DistanceResultPair<D>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC: Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.
computeROCAUCDistanceResult(int, Collection<Integer>, List<DistanceResultPair<D>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC: Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.
computeROCAUCSimple(int, Collection<Integer>, List<Integer>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC: Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.
ComputeROCCurve<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.
ComputeROCCurve(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve: Constructor
computeScale(List<ClusterOrderEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Compute the scale (value range)
ComputeSingleColorHistogram - Class in de.lmu.ifi.dbs.elki.application: Application that computes the color histogram vector for a single image.
ComputeSingleColorHistogram(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram: Constructor, adhering to Parameterizable
cond() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Matrix condition (2 norm)
cond() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition: Two norm condition number
condenseTree(TreeIndexPath<E>, Stack<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Condenses the tree after deletion of some nodes.
CONDITION - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Description for the determination of the preference vector.
confbase - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Configuration base
config - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication: Tracks the parameters.
config - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Static instance of the configuration
CONFIGFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: OptionID for GeneratorXMLSpec.CONFIGFILE_PARAM
CONFIGFILE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Parameter to give the configuration file
cons - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint: List of parameter constraints.
conservativeApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: The conservative approximation.
conservativeApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: The conservative approximation.
conservativeKnnDistanceApproximation(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Determines and returns the conservative approximation for the knn distances of this node as the maximum of the conservative approximations of all entries.
CONSTANT_OBJECTS_INDEX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ConstantObject: Index of constant objects.
ConstantObject<D extends ConstantObject<D>> - Class in de.lmu.ifi.dbs.elki.utilities: ConstantObject provides a parent class for constant objects, that are immutable and unique by class and name.
ConstantObject(String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.ConstantObject: Provides a ConstantObject of the given name.
ConstantWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions: Constant Weight function The result is always 1.0
ConstantWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.ConstantWeight
constraints - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Holds parameter constraints for this parameter.
constraintStrings() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualStringConstraint
constraintValue - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AbstractNumberConstraint: The constraint value.
constructWithCopy(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Construct a matrix from a copy of a 2-D array.
containedTest(N, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Test on whether or not any child of node contains mbr.
contains(V) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Returns true, if the intervals of this unit contain the specified feature vector.
contains(BitSet) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Returns whether this BitVector contains all bits that are set to true in the specified BitSet.
contains(K, V) - Method in class de.lmu.ifi.dbs.elki.utilities.HashMapList: Test if a given value is already present for the key.
contains(HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox: Returns true if this HyperBoundingBox contains the given HyperBoundingBox, false otherwise.
contains(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox: Returns true if this HyperBoundingBox contains the given point, false otherwise.
contains(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Check if a name is already used in the classes.
containsKey(AssociationID<?>) - Method in class de.lmu.ifi.dbs.elki.database.AssociationMaps: Checks whether this AssociationMaps contains a mapping for a given AssociationID.
containsKey(Integer, Integer, Map<Pair<Integer, Integer>, D>) - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: Returns true if the specified distance cache contains a distance value for the specified ids.
containsKey(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.HashMapList: Check that there is at least one value for the key.
containsLeftNeighbor(Interval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Returns true if this unit contains the left neighbor of the specified interval.
containsRightNeighbor(Interval) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Returns true if this unit contains the right neighbor of the specified interval.
content - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: Map to hold the objects of the database.
CONTENT_TYPE_CSS - Static variable in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil: CSS content type
CONTENT_TYPE_HTML - Static variable in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil: HTML content type
CONTENT_TYPE_HTML_UTF8 - Static variable in class de.lmu.ifi.dbs.elki.utilities.xml.HTMLUtil: HTML content type with UTF-8 indication
context - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualizer: Visualizer context to use
convertBitSetToListInt(BitSet, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Convert a bit set to a list of integers, representing bits that are set
convertToDoubles(float[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Converts the specified array of doubles to an array of floats.
convertToDoubles(List<Double>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Converts the specified list of Double objects to an array of doubles.
convertToFloat(List<Double>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Converts the specified list of double objects to a list of float objects.
convertToFloat(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Converts the specified array of doubles to an array of floats.
ConvexHull - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: Holds the lower and upper hull for some values.
ConvexHull(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull: Creates a new convex hull for the specified distances.
COPAC<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Provides the COPAC algorithm, an algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary clustering algorithm over the partitions.
COPAC(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Constructor, adhering to Parameterizable.
copacAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC: The COPAC clustering algorithm.
copy() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber: Provides a deep copy of this RationalNumber.
copy() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Make a deep copy of a matrix.
copy() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs: Returns a deep copy of this object
copy() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a copy of this vector.
copy() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Returns a copy of the vector holding this heap.
copy(String[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a new String array containing the same objects as are contained in the given array.
copy(double[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a new double array containing the same objects as are contained in the given array.
CORRELATION_DISTANCE_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance: The pattern used for correlation distances
CorrelationAnalysisSolution<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data.model: A solution of correlation analysis is a matrix of equations describing the dependencies.
CorrelationAnalysisSolution(LinearEquationSystem, Database<V>, Matrix, Matrix, Matrix, Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Provides a new CorrelationAnalysisSolution holding the specified matrix.
CorrelationAnalysisSolution(LinearEquationSystem, Database<V>, Matrix, Matrix, Matrix, Vector, NumberFormat) - Constructor for class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Provides a new CorrelationAnalysisSolution holding the specified matrix and number format.
correlationDimensionality - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: The dimensionality of the correlation.
CorrelationDistance<D extends CorrelationDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance: The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
CorrelationDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.CorrelationDistance: Empty constructor for serialization purposes.
CorrelationDistance(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.CorrelationDistance: Constructs a new CorrelationDistance object consisting of the specified correlation value and euclidean value.
correlationDistance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction: Computes the correlation distance between the two specified vectors.
correlationDistance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction
correlationDistance(PCAFilteredResult, PCAFilteredResult, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: Computes the correlation distance between the two subspaces defined by the specified PCAs.
correlationDistance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction
correlationDistance(V, V, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction: Computes the correlation distance between the two specified vectors according to the specified preference vectors.
correlationDistance(V, V, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction: Computes the correlation distance between the two specified vectors according to the specified preference vectors.
correlationDistance(V, V, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.HiSCDistanceFunction: Computes the correlation distance between the two specified vectors according to the specified preference vectors.
CorrelationModel<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data.model: Cluster model using a filtered PCA result and an centroid.
CorrelationModel(PCAFilteredResult, V) - Constructor for class de.lmu.ifi.dbs.elki.data.model.CorrelationModel: Constructor
correlationValue - Variable in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance: The correlation dimension.
CosineDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Cosine distance function for feature vectors.
CosineDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction: Provides a CosineDistanceFunction.
count - Variable in class de.lmu.ifi.dbs.elki.math.MeanVariance: Number of Samples.
counter - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: Counter to provide a new Integer id.
countNonNewline(char[], int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Count the number of non-newline characters before first newline in the string.
countNonNewline(String, int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Count the number of non-newline characters before first newline in the string.
countPairs(PairSortedGeneratorInterface, PairSortedGeneratorInterface, double) - Static method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure: Compare two sets of generated pairs.
countSharedNeighbors(SortedSet<Integer>, SortedSet<Integer>) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction
countStrongEigenPairs() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs: Counts the strong eigenpairs.
countWeakEigenPairs() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs: Counts the strong eigenpairs.
COVARIANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Parameter to specify the class to compute the covariance matrix, must be a subclass of CovarianceMatrixBuilder.
covarianceMatrix - Variable in class de.lmu.ifi.dbs.elki.data.model.EMModel: Cluster covariance matrix
covarianceMatrix(Database<V>, Collection<Integer>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Determines the covariance matrix of the objects stored in the given database.
covarianceMatrix(Database<O>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Determines the covariance matrix of the objects stored in the given database.
covarianceMatrix(Database<O>, O) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Determines the covariance matrix of the objects stored in the given database w.r.t. the given centroid.
covarianceMatrix(Matrix) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Determines the d x d covariance matrix of the given n x d data matrix.
CovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Abstract class with the task of computing a Covariance matrix to be used in PCA.
CovarianceMatrixBuilder() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder
covarianceMatrixBuilder - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: The covariance computation class.
coverage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: The coverage of this subspace, which is the number of all feature vectors that fall inside the dense units of this subspace.
coveringRadius(Integer, AbstractMTree<O, D, N, E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode: Determines and returns the covering radius of this node.
coveringRadius - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: The covering radius of the entry.
covmat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Working space for covariance matrix
CPair<FIRST extends Comparable<? super FIRST>,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Pair with canonical comparison function derived from the components comparable interfaces.
CPair(FIRST, SECOND) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.CPair: Initialize pair
createAndShowGUI() - Static method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Create the GUI and show it.
createContext(ColorModel, ColorModel, RenderingHints) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.DoubleVectorLabelParser: Creates a DoubleVector out of the given attribute values.
createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.FloatVectorLabelParser: Creates a FloatVector out of the given attribute values.
createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.NumberVectorLabelParser: Creates a database object of type V.
createDBObject(List<Double>) - Method in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser: Creates a DoubleVector out of the given attribute values.
createDirectoryNodes(List<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree: Creates and returns the directory nodes for bulk load.
createEmptyRoot(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
createEmptyRoot(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
createEmptyRoot(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Creates an empty root node and writes it to file.
createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Creates a header for this index structure which is an instance of TreeIndexHeader.
createLeafNodes(List<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Creates and returns the leaf nodes for bulk load.
createNewDirectoryEntry(N, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(MkAppTreeNode<O, D, N>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(MkCoPTreeNode<O, D, N>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(MkMaxTreeNode<O, D>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewDirectoryEntry(MkTabTreeNode<O, D>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(MTreeNode<O, D>, Integer, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createNewDirectoryEntry(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(DeLiCluNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(RdKNNNode<D, N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Creates a new directory entry representing the specified node.
createNewDirectoryEntry(RStarTreeNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode: Creates a new directory node with the specified capacity.
createNewDirectoryNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Creates a new directory node with the specified capacity.
createNewLastDeap() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: Creates and returns a new deap as last element of the cache path.
createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Creates a new leaf entry representing the specified data object.
createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new leaf entry representing the specified data object.
createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Creates a new leaf entry representing the specified data object.
createNewLeafEntry(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode: Creates a new leaf node with the specified capacity.
createNewLeafNode(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Creates a new leaf node with the specified capacity.
createNewRoot(N, N, Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Creates a new root node that points to the two specified child nodes and return the path to the new root.
createNewRoot(N, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Creates a new root node that points to the two specified child nodes and return the path to the new root.
createRoot(N, List<SpatialObject>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree: Returns a root node for bulk load.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Creates an entry representing the root node.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Creates an entry representing the root node.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Creates an entry representing the root node.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates an entry representing the root node.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Creates an entry representing the root node.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Creates an entry representing the root node.
createRootEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Creates an entry representing the root node.
cref - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer: A weak reference to the component the plot is in.
CSS_AXIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis: CSS class name for the axes
CSS_AXIS_LABEL - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis: CSS class name for the axes
CSS_AXIS_TICK - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis: CSS class name for the axes
cssclass - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.AddCSSClass: Class to set
cssclass - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.RemoveCSSClass: Class to set
CSSClass - Class in de.lmu.ifi.dbs.elki.visualization.css: Class representing a single CSS class.
CSSClass(Object, String, Collection<Pair<String, String>>) - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Full constructor
CSSClass(Object, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Simplified constructor, empty statements list.
CSSClass(Object, String, CSSClass) - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClass: Cloning constructor
CSSClass.InvalidCSS - Exception in de.lmu.ifi.dbs.elki.visualization.css: Exception class thrown when encountering invalid CSS.
CSSClass.InvalidCSS(String) - Constructor for exception de.lmu.ifi.dbs.elki.visualization.css.CSSClass.InvalidCSS: Constructor.
CSSClassManager - Class in de.lmu.ifi.dbs.elki.visualization.css: Manager class to track CSS classes used in a particular SVG document.
CSSClassManager() - Constructor for class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager
CSSClassManager.CSSNamingConflict - Exception in de.lmu.ifi.dbs.elki.visualization.css: Class to signal a CSS naming conflict.
CSSClassManager.CSSNamingConflict(String) - Constructor for exception de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager.CSSNamingConflict: Exception to signal a CSS naming conflict.
CSSFILE - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
CSSFILE - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
CSSHoverClass - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: Do a hover effect using a CSS class.
CSSHoverClass(String, String, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass: Constructor
CSSHoverClass(String, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass: Constructor without 'clickisout' option.
cssman - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: CSS class manager
CSSNAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterOrderVisualizer: CSS class name
CTriple<FIRST extends Comparable<FIRST>,SECOND extends Comparable<SECOND>,THIRD extends Comparable<THIRD>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Triple with canonical comparison function.
CTriple(FIRST, SECOND, THIRD) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.CTriple: Constructor with fields
cubicTo(double, double, double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Cubic Bezier line to the given coordinates.
cur - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator: Current pair
cur - Variable in class de.lmu.ifi.dbs.elki.properties.IterateKnownImplementations: Current class = next iterator value
cur - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
cur - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Current parent for nested parameterization
current() - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator: Return current pair.
current() - Method in interface de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGeneratorInterface: Return current pair.
current - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: Parameters we used before, but have rewound
currentSubplot - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Currently selected subplot.
curve - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisualizer: Curve to visualize
curve - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualizer: The histogram result to visualize
CurveAdapter - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.adapter: Adapter that will look for visualizable 2D curves and create visualizations for them.
CurveAdapter() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.CurveAdapter: Constructor.
curves - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.Projection1DHistogramVisualizer: Internal storage of the curves flag.
curveVisualizer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.CurveAdapter: Prototype for parameterization
CurveVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Visualizer to render a simple 2D curve such as a ROC curve.
CurveVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisualizer: Constructor, Parameterizable style - does nothing.
cutoff - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling: The value we cut off at.