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

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

C

c - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Holds the value of GaussianUniformMixture.C_ID.
c - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture.Parameterizer
c - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC: Parameter c: damping factor
c - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer: Parameter c: damping coefficient
c - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: References to points in Delaunay2D.points
c - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution: The constant
C_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: Parameter to specify the cutoff.
C_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer: Parameter to specify the c
ca - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: References to neighbor triangles
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: The distance matrix
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: The distance cache
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: The distance cache
cache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: The distance cache
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: Parameter that specifies the name of the directory to be re-parsed.
CACHE_ID - Static 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.TreeIndexFactory: Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.
cachedFindAllImplementations(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil: Cached version of "findAllImplementations".
CacheDoubleDistanceInOnDiskMatrix<O,D extends NumberDistance<D,?>> - 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(boolean, Database, DistanceFunction<O, D>, File) - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Constructor.
CacheDoubleDistanceInOnDiskMatrix.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.cache: Parameterization class.
CacheDoubleDistanceInOnDiskMatrix.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer
CacheFloatDistanceInOnDiskMatrix<O,D extends NumberDistance<D,?>> - 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(boolean, Database, DistanceFunction<O, D>, File) - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Constructor.
CacheFloatDistanceInOnDiskMatrix.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.cache: Parameterization class.
CacheFloatDistanceInOnDiskMatrix.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer
cacheSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory: Holds the value of TreeIndexFactory.CACHE_SIZE_ID.
cacheSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory.Parameterizer
cacheSize - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache: The maximum number of objects in this cache.
cacheSizeBytes - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache: Cache size in bytes.
calcCos(KernelMatrix, DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: Compute the cosinus value between vectors aKey and bKey.
calcDenominator(KernelMatrix, DBIDRef, DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcDistsandNN(Relation<V>, KernelMatrix, int, DBIDRef, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcDistsandRNDSample(Relation<V>, KernelMatrix, int, DBIDRef, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcFastNormalization(DBIDRef, WritableDoubleDataStore, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcNumerator(KernelMatrix, DBIDRef, DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
calcP_i(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction: Compute p_i (Gaussian distribution, outliers)
calcPosterior(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction: Compute the a posterior probability for the given parameters.
calcQ_i(double, double) - Static method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction: Compute q_i (Exponential distribution, inliers)
calcScales(Relation<O>) - Static method in class de.lmu.ifi.dbs.elki.math.scales.Scales: Compute a linear scale for each dimension.
calculate_MDEF_norm(ALOCI.Node, ALOCI.Node) - Static method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI: Method for the MDEF calculation
calculateApproximation(DBID, V) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile: Calculate the VA file position given the existing borders.
calculateContrast(Relation<? extends NumberVector<?, ?>>, HiCS.HiCSSubspace, ArrayList<ArrayDBIDs>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: Calculates the actual contrast of a given subspace
calculateDOF(MeanVariance, MeanVariance) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest: Calculates the degree of freedom according to Welch-Satterthwaite
calculateFullApproximation(DBID, V) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Calculate the VA file position given the existing borders.
calculatePartialApproximation(DBID, NumberVector<?, ?>, List<DoubleObjPair<DAFile>>) - Static method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Calculate partial vector approximation
calculatePValue(double, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest: Calculates the two-sided p-Value of the underlying t-Distribution with v degrees of freedom
calculateSelectivityCoeffs(List<DoubleObjPair<DAFile>>, NumberVector<?, ?>, double) - Static method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Calculate selectivity coefficients.
calculateSubspaces(Relation<? extends NumberVector<?, ?>>, ArrayList<ArrayDBIDs>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: Identifies high contrast subspaces in a given full-dimensional database
calculateTestStatistic(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest: Calculates the maximum distance between the two empirical CDFs of two data samples.
calculateTestStatistic(MeanVariance, MeanVariance) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest: Calculate the statistic of Welch's t test using statistical moments of the provided data samples
callback - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread.Task: Runnable to call back
CanberraDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Canberra distance function, a variation of Manhattan distance.
CanberraDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction: Constructor.
CanberraDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Parameterization class.
CanberraDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction.Parameterizer
canBulkLoad() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Test whether a bulk insert is still possible.
candidates - Variable in class de.lmu.ifi.dbs.elki.utilities.QueryStatistic: The number of candidate objects which need a refinement.
canonicalClassName(Class<?>, Package, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Get the "simple" form of a class name.
canonicalClassName(Class<?>, Class<?>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Get the "simple" form of a class name.
canPlot(ClusterOrderResult<D>) - Static method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Test whether this class can produce an OPTICS plot for the given cluster order.
canRun() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: Test if this tab is ready-to-run
CanvasSize - Class in de.lmu.ifi.dbs.elki.visualization.projections: Size of a canvas.
CanvasSize(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize: Constructor.
canVisualize(AbstractMTree<?, ?, ?, ?>) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization: Test for a visualizable index in the context's database.
capacity(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Capacity of the vector v.
capital_n - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut: Set sizes, total and current iteration
capital_n_star - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut: Set sizes, total and current iteration
cardinality(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Compute the cardinality (number of set bits)
cardinality(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Compute the cardinality (number of set bits) Low-endian layout for the array.
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(int, int, int, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Constructor.
CASH.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Parameterization class.
CASH.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer
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, ModifiableDBIDs, 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(Relation<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.
cast(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation: Cast the object to type T (actually to the given restriction class!)
castQueueElement(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
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!).
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Static version of the CDF of the beta distribution
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
cdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution: Cumulative density function.
cdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution: The CDF, static version.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution
cdf(double) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution: Return the cumulative density function at the given value.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: The CDF, static version.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution: Cumulative probability density function (CDF) of a normal distribution.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution
cdf(double, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution: Static version of the CDF of the t-distribution for t > 0
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
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.ALOCI.Node: Center vector
center - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.SODModel
centerDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance
centerKernelMatrix(KernelMatrix) - 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.subspace.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(SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Returns the centroid of this SpatialComparable.
centroid(SpatialComparable, int, int) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Returns the centroid of the specified values of this SpatialComparable.
Centroid - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: Class to compute the centroid of some data.
Centroid(int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Constructor.
centroid(Relation<? extends V>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Returns the centroid as a NumberVector object of the specified database.
centroid(Relation<? extends V>, DBIDs) - 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(Relation<? extends V>, DBIDs, 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.
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.
charset - Variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.StringSerializer: Character set to use
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(Relation<V>, DiSHDistanceFunction.Instance<V>, Map<BitSet, List<Pair<BitSet, ArrayModifiableDBIDs>>>, int) - 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
checkConstraint(GlobalParameterConstraint) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
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
checkConvergence(Collection<AggarwalYuEvolutionary.Individuum>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: check the termination criterion
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.
checkDependencies() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel: Test if the dependencies are still valid.
checkDependencies() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel: Test if the dependencies are still valid.
checkDependencies() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel: Test if the dependencies are still valid.
checked - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox: Status flag
CheckELKIServices - Class in de.lmu.ifi.dbs.elki.application.internal: Helper application to test the ELKI properties file for "missing" implementations.
CheckELKIServices() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices
checkHeap() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Test whether the heap is still valid.
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)
checkParameterizer(Class<?>, Class<? extends AbstractParameterizer>) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables
checkSelected(int[], double[], double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
checkService(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices: Check a single service class
checkServices() - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices: Retrieve all properties and check them.
ChiDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Chi distribution.
ChiDistribution(double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution: Constructor.
child - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
child - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator
child - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild: The child to be appended.
childconfig - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel: Keep a map of parameter
childiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList.ItrDesc: Iterator over children
childiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists.ItrDesc: Iterator over children
children - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Node: Child nodes, may be null
children - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel: Child options
children(IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
children(IndexTreePath<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.datastructures.hierarchy.HierarchyReferenceLists: Storage for children
children - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Tree information: child links
childs - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs: Childs to merge
chisq - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Chi-Squared information for parameters
chisq - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution: Chi squared distribution (for random generation)
ChiSquaredDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Chi-Squared distribution (a specialization of the Gamma distribution).
ChiSquaredDistribution(double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution: Constructor.
chisquaredProbitApproximation(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Approximate probit for chi squared distribution Based on first half of algorithm AS 91 Reference: Algorithm AS 91: The percentage points of the $\chi$ 2 distribution
D.J.
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.
choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy
choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy
choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.InsertionStrategy: Choose insertion rectangle.
choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy
choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy
choose(A, ArrayAdapter<? extends SpatialComparable, A>, SpatialComparable, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy
chooseBulkSplitPoint(int, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit: Computes and returns the best split point.
chooseInitialMeans(Relation<V>, int, PrimitiveDistanceFunction<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FirstKInitialMeans
chooseInitialMeans(Relation<V>, int, PrimitiveDistanceFunction<? super V, ?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansInitialization: Choose initial means
chooseInitialMeans(Relation<V>, int, PrimitiveDistanceFunction<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansPlusPlusInitialMeans
chooseInitialMeans(Relation<V>, int, PrimitiveDistanceFunction<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.PAMInitialMeans
chooseInitialMeans(Relation<V>, int, PrimitiveDistanceFunction<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyChosenInitialMeans
chooseInitialMeans(Relation<V>, int, PrimitiveDistanceFunction<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyGeneratedInitialMeans
chooseInitialMedoids(int, DistanceQuery<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FirstKInitialMeans
chooseInitialMedoids(int, DistanceQuery<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansPlusPlusInitialMeans
chooseInitialMedoids(int, DistanceQuery<? super V, ?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsInitialization: Choose initial means
chooseInitialMedoids(int, DistanceQuery<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.PAMInitialMeans
chooseInitialMedoids(int, DistanceQuery<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyChosenInitialMeans
chooseMaximalExtendedSplitAxis(List<? extends SpatialComparable>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit: Computes and returns the best split axis.
choosePath(E, IndexTreePath<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(IndexTreePath<E>, SpatialComparable, 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(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Chooses a split axis.
chooseSplitPoint(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Chooses a split axis.
CircleMarkers - Class in de.lmu.ifi.dbs.elki.visualization.style.marker: Simple marker library that just draws colored circles at the given coordinates.
CircleMarkers(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.marker.CircleMarkers: Constructor
CircleSegmentsVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments: Visualizer to draw circle segments of clusterings and enable interactive selection of segments.
CircleSegmentsVisualizer(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: Constructor
CircleSegmentsVisualizer.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments: Factory for visualizers for a circle segment
CircleSegmentsVisualizer.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Factory: Constructor
CircleSegmentsVisualizer.SegmentListenerProxy - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments: Proxy element to connect signals.
CircleSegmentsVisualizer.SegmentListenerProxy(Segment, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.SegmentListenerProxy: Constructor.
cl - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Classloader
CLASS_CACHE - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil: Weak hash map for class lookups
CLASS_EXT - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
CLASS_EXT_LENGTH - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
CLASS_LABEL_CLASS_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter: Parameter to specify the class of occurring class labels.
CLASS_LABEL_INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter: 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.
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.
CLASSLABEL - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: A class label
ClassLabel.Factory<L extends ClassLabel> - Class in de.lmu.ifi.dbs.elki.data: Class label factory
ClassLabel.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.ClassLabel.Factory
classLabelFactory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter: The class label class to use.
classLabelFactory - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter.Parameterizer: The class label factory to use.
ClassLabelFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter: Class that turns a label column into a class label column.
ClassLabelFilter(int, ClassLabel.Factory<?>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter: Constructor.
ClassLabelFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parameterization class.
ClassLabelFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter.Parameterizer
classLabelIndex - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter: The index of the label to be used as class label, null if no class label is specified.
classLabelIndex - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFilter.Parameterizer: The index of the label to be used as class label, null if no class label is specified.
classListEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor: The class list editor
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.
ClassListParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator: Provide a configuration panel to choose classes with the help of a dropdown.
ClassListParameterConfigurator(ClassListParameter<?>, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
ClassListParameterConfigurator.SuperPopup - Class in de.lmu.ifi.dbs.elki.gui.configurator
ClassListParameterConfigurator.SuperPopup(JComboBox) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator.SuperPopup: Constructor.
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.
ClassParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator: Provide a configuration panel to choose a class with the help of a dropdown.
ClassParameterConfigurator(ClassParameter<?>, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator
ClassStylingPolicy - Interface in de.lmu.ifi.dbs.elki.visualization.style: Styling policy that is based on classes, for example clusters or labels.
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayModifiableDBIDs
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
clear() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs: Clear this collection.
clear() - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel
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(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Reset the Vector to 0.
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
clear() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Clears this PageFile.
clear() - Method in interface 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.datastructures.heap.Heap
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
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.gui.overview.LayerMap: Clear a map
clear() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner: Clear queue.
clearC(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Clear bit number "off" in v.
clearErrors() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization: Clear errors.
clearI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Clear bit number "off" in v.
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'?
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(Double, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: Constructor.
ClipScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling: Parameterization class.
ClipScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer
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(int, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Constructor.
CLIQUE.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
CLIQUE.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer
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>, ModifiableDBIDs) - 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.
clone() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Clone the Vector object.
clone() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
clone(SVGPlot, VisualizerContext) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Special clone operation that replaces the target plot.
clone(SVGPlot, VisualizerContext, Projection, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Special clone operation to set projection and size.
cloneCollection(C) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Clone a collection.
cloneDocument(DOMImplementation, Document) - Method in class de.lmu.ifi.dbs.elki.utilities.xml.DOMCloner: Deep-clone a document.
cloneDocument() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Clone the SVGPlot document for transcoding.
cloneForCache(D) - Method in class de.lmu.ifi.dbs.elki.math.histograms.FlexiHistogram.Adapter: Clone a data passed to the algorithm for computing the initial size.
CloneInlineImages - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: Clone an SVG document, inlining temporary and in-memory linked images.
CloneInlineImages() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages
cloneNode(Document, Node) - Method in class de.lmu.ifi.dbs.elki.utilities.xml.DOMCloner: Clone an existing node.
cloneNode(Document, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages
cloneNode(Document, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCloneVisible
cloneNode(Document, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot.CloneNoExport
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 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.AbstractPageFile
close() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
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 interface 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.visualization.gui.ResultWindow: Close the visualizer window.
close() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SimpleSVGViewer: 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.
closeArray() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer: Close an array context.
closeButton - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: Button to close the window
closeHash() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer: Close an hash context.
CloseReinsert - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert: Reinsert objects on page overflow, starting with close objects first (even when they will likely be inserted into the same page again!)
CloseReinsert(double, SpatialPrimitiveDoubleDistanceFunction<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert: Constructor.
CloseReinsert.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert: Parameterization class.
CloseReinsert.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert.Parameterizer
CLR_BORDER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: CSS border class of a cluster
CLR_CLUSTER_CLASS_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: CSS class name for the clusterings.
CLR_HOVER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: CSS hover class of a segment cluster
CLR_UNPAIRED_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: CSS hover class for clusters of hovered segment
cls - Variable in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation: The restriction class we represent.
clus - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization: Our clustering
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: Generic cluster class, that may or not have hierarchical information.
Cluster(String, DBIDs, boolean, M, Hierarchy<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Full constructor
Cluster(String, DBIDs, boolean, M, List<Cluster<M>>, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor with hierarchy information.
Cluster(String, DBIDs, boolean, M) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information.
Cluster(String, DBIDs, M) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information.
Cluster(DBIDs, boolean, M) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information and name
Cluster(DBIDs, M) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information and name
Cluster(String, DBIDs, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information and model
Cluster(String, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information and model
Cluster(DBIDs, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information and name and model
Cluster(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor without hierarchy information and name and model
Cluster(String, DBIDs, M, Hierarchy<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster: Constructor with hierarchy but noise flag defaulting to false.
Cluster(String, DBIDs, M, List<Cluster<M>>, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.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: A partial comparator for Clusters, based on their name.
Cluster.PartialComparator() - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster.PartialComparator
clusteralg - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1: Clustering algorithm to run.
CLUSTERAREA - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization: Generic tags to indicate the type of element.
ClusterContingencyTable - Class in de.lmu.ifi.dbs.elki.evaluation.clustering: Class storing the contingency table and related data on two clusterings.
ClusterContingencyTable(boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable: Constructor.
ClusterContingencyTable.Util - Class in de.lmu.ifi.dbs.elki.evaluation.clustering: Utility class.
ClusterContingencyTable.Util() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable.Util
ClusterEvaluationVisFactory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Pseudo-Visualizer, that lists the cluster evaluation results found.
ClusterEvaluationVisFactory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisFactory: Constructor.
CLUSTERHULL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization: Generic tags to indicate the type of element.
ClusterHullVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Visualizer for generating an SVG-Element containing the convex hull / alpha shape of each cluster.
ClusterHullVisualization(VisualizationTask, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization: Constructor
ClusterHullVisualization.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Factory for visualizers to generate an SVG-Element containing the convex hull or alpha shape of a cluster.
ClusterHullVisualization.Factory(double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Factory: Constructor.
ClusterHullVisualization.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Parameterization class.
ClusterHullVisualization.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Factory.Parameterizer
clusterIds - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment: The cluster numbers in each ring
Clustering<M extends Model> - Class in de.lmu.ifi.dbs.elki.data: Result class for clusterings.
Clustering(String, String, List<Cluster<M>>) - Constructor for class de.lmu.ifi.dbs.elki.data.Clustering: Constructor with a list of top level clusters
Clustering(String, String) - Constructor for class de.lmu.ifi.dbs.elki.data.Clustering: Constructor for an empty clustering
clustering - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme: Clustering this scheme is applied to.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy: Clustering in use.
CLUSTERING - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization: Optics clustering we visualize
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization: The result we visualize
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization: The result we visualize
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization: The result we work on
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization: Clustering to visualize.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization: The result we work on
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization: The result we work on
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization: Clustering to display
CLUSTERING_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages: Message when an empty clustering is encountered.
ClusteringAlgorithm<C extends Clustering<? extends Model>> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering: Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.
clusterings - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments: Clusterings
clusteringsCount - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments: Number of clusterings in comparison
CLUSTERMEAN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization: Generic tags to indicate the type of element.
ClusterMeanVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Visualize the mean of a KMeans-Clustering
ClusterMeanVisualization(VisualizationTask, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization: Constructor.
ClusterMeanVisualization.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Factory for visualizers to generate an SVG-Element containing a marker for the mean in a KMeans-Clustering
ClusterMeanVisualization.Factory(boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Factory: Constructor.
ClusterMeanVisualization.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Parameterization class.
ClusterMeanVisualization.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Factory.Parameterizer
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.optics.ClusterOrderResult: Cluster order storage
clusterOrder - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ClusterOrderAdapter: Access reference.
clusterOrder - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector: Cluster order result
CLUSTERORDER - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Clusterorder
ClusterOrderEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.result.optics: Generic Cluster Order Entry Interface.
ClusterOrderResult<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.result.optics: Class to store the result of an ordering clustering algorithm such as OPTICS.
ClusterOrderResult(String, String) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult: Constructor
ClusterOrderResult.ClusterOrderAdapter - Class in de.lmu.ifi.dbs.elki.result.optics: Ordering part of the result.
ClusterOrderResult.ClusterOrderAdapter(ArrayList<ClusterOrderEntry<D>>) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ClusterOrderAdapter: Constructor.
ClusterOrderResult.PredecessorAdapter - Class in de.lmu.ifi.dbs.elki.result.optics: Result containing the predecessor ID.
ClusterOrderResult.PredecessorAdapter(DataStore<ClusterOrderEntry<D>>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.PredecessorAdapter: Constructor.
ClusterOrderResult.ReachabilityDistanceAdapter - Class in de.lmu.ifi.dbs.elki.result.optics: Result containing the reachability distances.
ClusterOrderResult.ReachabilityDistanceAdapter(DataStore<ClusterOrderEntry<D>>, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ReachabilityDistanceAdapter: Constructor.
ClusterOrderVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Cluster order visualizer.
ClusterOrderVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
ClusterOrderVisualization.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster: Visualize an OPTICS cluster order by drawing connection lines.
ClusterOrderVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Factory: Constructor, adhering to Parameterizable
ClusterOutlineVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster: Generates a SVG-Element that visualizes the area covered by a cluster.
ClusterOutlineVisualization(VisualizationTask, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization: Constructor.
ClusterOutlineVisualization.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster: Factory for axis visualizations
ClusterOutlineVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Factory: Constructor, adhering to Parameterizable
ClusterPairSegmentAnalysis - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments: Evaluate clustering results by building segments for their pairs: shared pairs and differences.
ClusterPairSegmentAnalysis() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.ClusterPairSegmentAnalysis: Constructor.
ClusterParallelMeanVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster: Generates a SVG-Element that visualizes cluster means.
ClusterParallelMeanVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization: Constructor.
ClusterParallelMeanVisualization.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster: Factory for axis visualizations
ClusterParallelMeanVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Factory: Constructor, adhering to Parameterizable
clusterRandom - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Random generator used for initializing cluster generators.
clusterRandom - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer: Random generator used for initializing cluster generators.
clusters - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments: Clusters
ClusterStylingPolicy - Class in de.lmu.ifi.dbs.elki.visualization.style: Styling policy based on cluster membership.
ClusterStylingPolicy(Clustering<?>, StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy: Constructor.
cmap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList: The data storage for children
CNAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer: Name for this visualizer.
co - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICSXi.SteepScanPosition: Cluster order
co - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: The result to plot
code - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Node: Position code
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.
CollectionResult<O> - Class in de.lmu.ifi.dbs.elki.result: Simple 'collection' type of result.
CollectionResult(String, String, Collection<O>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.CollectionResult: Constructor
CollectionResult(String, String, 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
collectProjectorFactorys(MergedParameterization, Pattern) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer: Collect and instantiate all projector factories.
collectVisFactorys(MergedParameterization, Pattern) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer: Collect and instantiate all visualizer factories.
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_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.
ColoredHistogramVisualizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram: Generates a SVG-Element containing a histogram representing the distribution of the database's objects.
ColoredHistogramVisualizer(VisualizationTask, boolean, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer: Constructor.
ColoredHistogramVisualizer.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram: Visualizer factory for 1D histograms
ColoredHistogramVisualizer.Factory(boolean, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Factory: Constructor.
ColoredHistogramVisualizer.Factory.Parameterizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram: Parameterization class.
ColoredHistogramVisualizer.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Factory.Parameterizer
COLORHIST_ID - Static 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.ClusterStylingPolicy: Colors
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.style.marker.CircleMarkers: Color library
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.MinimalMarkers: Color library
colors - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Color library
COLORSET - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Color set
colorset - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Color library (only used in compatibility mode)
colorToString(Color) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Convert a color name from an AWT color object to CSS syntax Note: currently only RGB (from ARGB order) are supported.
colorToString(int) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Convert a color name from an AWT color object to CSS syntax Note: currently only RGB (from ARGB order) are supported.
cols - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter: Number of columns
colSep - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser: Stores the column separator pattern
colSep - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer: Stores the column separator pattern
column - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter: The column to filter
COLUMN_SEPARATOR_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser: OptionID for the column separator parameter (defaults to whitespace as in AbstractParser.DEFAULT_SEPARATOR.
columndimension - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Column dimension.
columnnames - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Column names
columnPackedCopy(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Make a one-dimensional column packed copy of the internal array.
columns - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle: Storing the real contents.
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.
CombinedInsertionStrategy - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: Use two different insertion strategies for directory and leaf nodes.
CombinedInsertionStrategy(InsertionStrategy, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy: Constructor.
CombinedInsertionStrategy.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert: Parameterization class.
CombinedInsertionStrategy.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer
CombinedTypeInformation - Class in de.lmu.ifi.dbs.elki.data.type: Class that combines multiple type restrictions into one using an "and" operator.
CombinedTypeInformation(TypeInformation...) - Constructor for class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation: Constructor.
combineRecursive(ArrayList<Integer>, int, int[], AggarwalYuEvolutionary.Individuum, AggarwalYuEvolutionary.Individuum) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: Recursive method to build all possible gene combinations using positions in r.
combo - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator: The combobox we are abusing to produce the popup
combo - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: The combobox we are abusing to produce the popup
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.algorithm.outlier.meta.ExternalDoubleOutlierScore: The comment character.
COMMENT - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser: The comment character.
comment - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Buffer for comment data to output.
COMMENT_CHAR - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Comment character
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.
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.distancevalue.PreferenceVectorBasedCorrelationDistance: The common preference vector of the two objects defining this distance.
comparator - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore: Comparator to use when sorting
comparator - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: The comparator or null
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<? super FIRST>, Comparator<? super 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<? super 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<? super 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<? super FIRST>, Comparator<? super 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(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.CompareByLambda
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.PartialComparator
compare(Subspace<?>, Subspace<?>) - Method in class de.lmu.ifi.dbs.elki.data.Subspace.DimensionComparator: Compares the two specified subspaces for order.
compare(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortDBIDsBySingleDimension
compare(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortVectorsBySingleDimension
compare(T, T) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit.Compare
compare(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.SpatialComparator: Compares the two specified spatial comparables according to the sorting dimension and the comparison value of this Comparator.
compare(DAFile, DAFile) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.WorstCaseDistComparator
compare(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.BinarySplitSpatialSorter.DimC
compare(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore.DerivedComparator
compare(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore.ImpliedComparator
compare(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.result.outlier.OrderingFromRelation.ImpliedComparator
compare(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Compare two bitsets.
compare(DistanceResultPair<D>, DistanceResultPair<D>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNHeap.Comp
compare(Object, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap: Test if the priority of an object is higher.
compare(Class<?>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.ClassSorter
compare(Pair<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends 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<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends 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<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends 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<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNatural: Compare by first, then by second.
compare(Pair<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalFirst: Compare by first component natural ordering
compare(Pair<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSecond: Compare by second components natural ordering
compare(Pair<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends SECOND>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSwapped: Compare by second component, using the ComparableSwapped interface.
compare(Pair<? extends FIRST, ? extends SECOND>, Pair<? extends FIRST, ? extends 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.
compare(Comparable<Object>, Comparable<Object>) - Method in class de.lmu.ifi.dbs.elki.utilities.Util.ForwardComparator
compareByDistance(DistanceResultPair<D>) - Method in interface de.lmu.ifi.dbs.elki.database.query.DistanceResultPair: Compare value, but by distance only.
compareByDistance(DistanceResultPair<DoubleDistance>) - Method in class de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair
compareByDistance(DistanceResultPair<D>) - Method in class de.lmu.ifi.dbs.elki.database.query.GenericDistanceResultPair
compareDBID(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBID: Compare two objects by the value of the referenced DBID.
compareDBID(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDRef: Compare two objects by the value of the referenced DBID.
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DBIDIterAdapter
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs.DBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.DBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayDBIDs.DBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.DBIDItr
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.GenericDistanceResultPair
compareDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.KNNUtil.DBIDItr
compareDimension - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.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(DeLiClu<NV, D>.SpatialObjectPair) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair: Compares this object with the specified object for order.
compareTo(KNNJoin<V, D, N, E>.Task) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task
compareTo(HilOut.HilFeature) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilFeature
compareTo(SOD.SODModel<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.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(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBID: Compare two DBIDs for ordering.
compareTo(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
compareTo(DistanceResultPair<DoubleDistance>) - Method in class de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair
compareTo(DistanceResultPair<D>) - Method in class de.lmu.ifi.dbs.elki.database.query.GenericDistanceResultPair
compareTo(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
compareTo(D) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance: Compares this CorrelationDistance with the given CorrelationDistance wrt the represented correlation values.
compareTo(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
compareTo(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
compareTo(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
compareTo(D) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance: Compares this NumberDistance with the given NumberDistance wrt the represented value.
compareTo(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.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.distancevalue.SubspaceDistance: Compares this SubspaceDistance with the given SubspaceDistance wrt the represented subspace distance values.
compareTo(Segment) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
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(DoubleDistanceSearchCandidate) - Method in class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate
compareTo(GenericDistanceSearchCandidate<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.query.GenericDistanceSearchCandidate
compareTo(DoubleDistanceRStarTreeKNNQuery<O>.DoubleDistanceEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry
compareTo(PartialVAFile.PartialVACandidate) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate
compareTo(EigenPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair: Compares this object with the specified object for order.
compareTo(HilbertSpatialSorter.HilbertRef<T>) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter.HilbertRef
compareTo(ClusterOrderEntry<DoubleDistance>) - Method in class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry
compareTo(ClusterOrderEntry<D>) - Method in class de.lmu.ifi.dbs.elki.result.optics.GenericClusterOrderEntry
compareTo(D) - Method in class de.lmu.ifi.dbs.elki.utilities.ConstantObject: Two constant objects are generally compared by their name.
compareTo(DoublePriorityObject<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoublePriorityObject
compareTo(IntegerPriorityObject<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject
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(DoubleObjPair<O>) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair
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.
compareTo(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
COMPARISON_DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP: The distance function to determine the reachability distance between database objects.
comparisonDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP: Preprocessor Step 2
comparisonDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LoOP.Parameterizer: Preprocessor Step 2
comparisonValue - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.SpatialComparator: Indicates the comparison value (min or max).
compat - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler: Compatibility mode.
compat - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer: Compatibility mode
COMPAT_ID - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer: Parameter for compatibility mode.
complete() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry.InternalParsedURLData
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(List<EigenPairFilter>) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter: Constructor.
CompositeEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
CompositeEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter.Parameterizer
compute() - Method in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape
computeBadMedoids(Map<DBID, 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(Relation<V>, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance>, DiSHDistanceFunction.Instance<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Computes the hierarchical clusters according to the cluster order.
computeColorHistogram(File, 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, File) - Method in interface de.lmu.ifi.dbs.elki.data.images.ComputeColorHistogram: Compute a color histogram given a file name.
computeConvexHull() - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: Compute the convex hull.
computeDensity(List<DistanceResultPair<D>>, 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.
computeDistanceVector(V, Relation<V>, DistanceQuery<V, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Computes for each object the distance to one reference point.
computeExplainedVariance(FilteredEigenPairs) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner: Compute the explained variance for a FilteredEigenPairs
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(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram: Constructor.
ComputeHSBColorHistogram.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.images: Parameterization class.
ComputeHSBColorHistogram.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeHSBColorHistogram.Parameterizer
computeIncreaseArea(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger
ComputeKNNOutlierScores<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.greedyensemble: Application that runs a series of kNN-based algorithms on a data set, for building an ensemble in a second step.
ComputeKNNOutlierScores(boolean, InputStep, DistanceFunction<? super O, D>, int, int, int, ByLabelOutlier, File) - Constructor for class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores: Constructor.
ComputeKNNOutlierScores.AlgRunner - Interface in de.lmu.ifi.dbs.elki.application.greedyensemble: Run an algorithm for a given k.
ComputeKNNOutlierScores.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.greedyensemble: Parameterization class.
ComputeKNNOutlierScores.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
computeLOFs(DBIDs, DataStore<Double>, KNNQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF: Computes the Local outlier factor (LOF) of the specified objects.
computeLRDs(DBIDs, KNNQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF: Computes the local reachability density (LRD) of the specified objects.
computeM_current(DBIDs, DBIDs, DBIDs, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Computes the set of medoids in current iteration.
computeMBR() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode: Recomputing the MBR is rather expensive.
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.
computeMedoid(Relation<? extends NumberVector<?, ?>>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil: Compute medoid for a given subset.
computeMinMax(List<T>) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.AbstractSpatialSorter: Compute the minimum and maximum for each dimension.
computeMinMax(Relation<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(int) - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram: Constructor.
ComputeNaiveHSBColorHistogram.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.images: Parameterization class.
ComputeNaiveHSBColorHistogram.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveHSBColorHistogram.Parameterizer
ComputeNaiveRGBColorHistogram - Class in de.lmu.ifi.dbs.elki.data.images: Compute a (rather naive) RGB color histogram.
ComputeNaiveRGBColorHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram: Constructor.
ComputeNaiveRGBColorHistogram.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.images: Parameterization class.
ComputeNaiveRGBColorHistogram.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.images.ComputeNaiveRGBColorHistogram.Parameterizer
computeOffset(int, int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Compute the offset within the file.
ComputeOutlierHistogram - Class in de.lmu.ifi.dbs.elki.evaluation.histogram: Compute a Histogram to evaluate a ranking algorithm.
ComputeOutlierHistogram(Pattern, int, ScalingFunction, boolean) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram: Constructor.
ComputeOutlierHistogram.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.histogram: Parameterization class.
ComputeOutlierHistogram.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer
computeOutlierScores(Database, Relation<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, Relation<O>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection
computeOutlierScores(Database, Relation<O>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore
computeOverlap(A, ArrayAdapter<E, A>, BitSet) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit: Compute overlap of assignment
computePrecisionResult(int, SetDBIDs, DBIDs) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve
computePrecisionResult(int, SetDBIDs, DBIDIter, Relation<Double>) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve
computeProjection(DBIDRef, DistanceDBIDResult<D>, Relation<NV>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex: This method implements the type of variance analysis to be computed for a given point.
computeProjection(DBIDRef, DistanceDBIDResult<D>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex
computeProjection(DBIDRef, DistanceDBIDResult<D>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex
computeReachdist(KNNResult<D>, D) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance: Actually compute the distance, whichever way we obtained the neighborhood above.
computeReinserts(A, ArrayAdapter<? extends SpatialComparable, ? super A>, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert
computeReinserts(A, ArrayAdapter<? extends SpatialComparable, ? super A>, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert
computeReinserts(A, ArrayAdapter<? extends SpatialComparable, ? super A>, SpatialComparable) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.ReinsertStrategy: Perform reinsertions.
computeROCAUC(NumberVector<?, ?>, Set<Integer>, int) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
computeROCAUCDistanceResult(int, Cluster<?>, Iterable<? extends 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, DBIDs, Iterable<? extends 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, DBIDs, DBIDs) - 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 - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Deprecated.
Renamed to OutlierROCCurve.
ComputeROCCurve(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve: Deprecated.

Constructor.
ComputeROCCurve.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.roc: Deprecated.

Parameterization class.
ComputeROCCurve.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve.Parameterizer: Deprecated.
computeROCResult(int, SetDBIDs, DBIDs) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve
computeROCResult(int, SetDBIDs, OutlierResult) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve
computeScale(List<ClusterOrderEntry<D>>) - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Compute the scale (value range)
computeScore(DBIDs, DBIDs, OutlierResult) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores: Evaluate a single outlier score result.
ComputeSimilarityMatrixImage<O> - Class in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix: Compute a similarity matrix for a distance function.
ComputeSimilarityMatrixImage(DistanceFunction<? super O, ? extends NumberDistance<?, ?>>, ScalingFunction, boolean) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: Constructor.
computeSimilarityMatrixImage(Relation<O>, DBIDIter) - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: Compute the actual similarity image.
ComputeSimilarityMatrixImage.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix: Parameterization class.
ComputeSimilarityMatrixImage.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer
ComputeSimilarityMatrixImage.SimilarityMatrix - Class in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix: Similarity matrix image.
ComputeSimilarityMatrixImage.SimilarityMatrix(RenderedImage, Relation<?>, ArrayDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Constructor
ComputeSingleColorHistogram - Class in de.lmu.ifi.dbs.elki.application: Application that computes the color histogram vector for a single image.
ComputeSingleColorHistogram(boolean, ComputeColorHistogram, File, File) - Constructor for class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram: Constructor.
ComputeSingleColorHistogram.Parameterizer - Class in de.lmu.ifi.dbs.elki.application: Parameterization class.
ComputeSingleColorHistogram.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram.Parameterizer
computeSmROCResult(SetDBIDs, OutlierResult) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve
computeStopDistance(List<KNNHeap<D>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin: Compute the maximum stop distance
computeSubspace(Vector<IntIntPair>, ArrayList<ArrayList<DBIDs>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier: Method to get the ids in the given subspace
computeSubspaceForGene(int[], ArrayList<ArrayList<DBIDs>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier: Get the DBIDs in the current subspace.
computeWeight(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood: Compute the weight from the number of steps needed.
computeWeightMatrix(int, int, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction: Compute the weight matrix for HSB similarity.
computeWeightMatrix(int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction: Compute weight matrix for a RGB color histogram
ConcatenateFilesDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource: Database that will loading multiple files, concatenating the results.
ConcatenateFilesDatabaseConnection(List<File>, Parser, List<ObjectFilter>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection: Constructor.
ConcatenateFilesDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource: Parameterization class
ConcatenateFilesDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer
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(IndexTreePath<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.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory: 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.logging.LoggingConfiguration: Static instance of the configuration
configAccuracy(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
configAlpha(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer
configAlpha(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer: Get the alpha parameter
configBulkLoad(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer: Configure the bulk load parameters.
configC(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer: get the c parameter
configD(Parameterization, DistanceFunction<?, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier.Parameterizer: Grab the 'd' configuration option.
configDimensionality(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
configDiSHDistance(Parameterization, double, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
configEpsilon(Parameterization, DistanceFunction<V, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer
configEpsilon(Parameterization) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer
configEpsilon(Parameterization, DistanceFunction<NV, D>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer
CONFIGFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Parameter to give the configuration file
configfiles - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Enumeration of configuration files
configFilters(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer
configIndexFactory(Parameterization, Class<?>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Parameterizer: Index factory parameter
configIndexFactory(Parameterization, Class<?>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Parameterizer: Get the index factory parameter.
configInnerDistance(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer
configK(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer: Get the parameter k, see AbstractProjectedClustering.K_ID
configK(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer: Get the kNN parameter
configKI(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer: Get the parameter k_i, see AbstractProjectedClustering.K_I_ID
configL(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer: Get the parameter l, see AbstractProjectedClustering.L_ID
configLambda(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer
configMinPts(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer
configMinPts(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer
configOPTICS(Parameterization, int, DiSHDistanceFunction) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer: Get the parameters for embedded OPTICS.
configOuterDistance(Parameterization, D, int, Class<?>, DistanceFunction<V, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN.Parameterizer
configParser(Parameterization, Class<?>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer
configRandomSampleFlag(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
configRangeQueryDistanceFunction(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer
configSampleSize(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
configSeed(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer
configSeed(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
configSize(Parameterization) - Method in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
ConfiguratorPanel - Class in de.lmu.ifi.dbs.elki.gui.configurator: A panel that contains configurators for parameters.
ConfiguratorPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel: Constructor.
configure(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
configure(Parameterization) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizer: Configure the class.
configureStep(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
configureStep(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel
configureStep(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel
configureStep(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.LoggingTabPanel
configureStep(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel
configureStep(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: Configure this step with the given parameters.
configVerbose(Parameterization) - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer: Get the verbose parameter.
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.
ConstantDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Pseudo distribution, that has a unique constant value.
ConstantDistribution(double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution: Constructor.
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, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Test on whether or not any child of node contains mbr.
container - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization: The container
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(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Returns true if the first SpatialComparable contains the second SpatialComparable, false otherwise.
contains(SpatialComparable, double[]) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Returns true if this SpatialComparable contains the given point, false otherwise.
contains(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs: Test whether an ID is contained.
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericArrayModifiableDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericHashSetModifiableDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MergedDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveArrayDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.knn.KNNUtil.DBIDView
contains(K, V) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.HashMapList: Test if a given value is already present for the key.
contains(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
contains(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
contains(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap
contains(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Check if a name is already used in the classes.
containsKey(DBIDRef, DBIDRef, Map<DBIDPair, D>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.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.datastructures.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.
containsPoint2D(Vector) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon: Point in polygon test, based on http://www.ecse.rpi.edu/Homepages/wrf/Research/Short_Notes/pnpoly.html by W.
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.relation.MaterializedRelation: 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
contentChanged(DataStoreEvent) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreListener: Invoked after objects of the datastore have been updated, inserted or removed in some way.
contentChanged(DataStoreEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
contentChanged(DataStoreEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Proxy datastore event to child listeners.
contentChanged(DataStoreEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: Default implementation for DataStoreListener.contentChanged(de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent) Not enabled or used by default, but saves redundant code.
contents - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle: Storing the real contents.
context - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations: Visualizer context
context - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: The visualizer context
context - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Visualizer context
context - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Visualizer context
context - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: Our context
context - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: The active context
context - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: Our context
contingency - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable: Contingency matrix
continueToMargin(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize: Continue a line along a given direction to the margin.
contmat - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.ScoreResult: Cluster contingency table
contrast - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace: The HiCS contrast value
convertedType(SimpleTypeInformation<I>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter: Get the output type from the input type after conversion.
convertedType(SimpleTypeInformation<I>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter: Get the output type from the input type after conversion.
convertedType(SimpleTypeInformation<DoubleVector>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorProjectionFilter
convertedType(SimpleTypeInformation<DoubleVector>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorRandomProjectionFilter
convertedType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractNormalization
convertedType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SparseNumberVectorProjectionFilter
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SparseNumberVectorRandomProjectionFilter
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SparseVectorFieldFilter
convertedType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
ConvertToStringView - Class in de.lmu.ifi.dbs.elki.database.relation: Representation adapter that uses toString() to produce a string representation.
ConvertToStringView(Relation<?>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView: Constructor.
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.
COORD - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: Pattern to catch coordinates
coordinatesToHilbert(long[], int, int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Interleave one long per dimension (using the "bitsperdim" highest bits) to a hilbert address.
coordinatesToHilbert(int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Interleave one int per dimension (using the "bitsperdim" highest bits) to a hilbert address.
coordinatesToHilbert(short[], int, int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Interleave one short per dimension (using the "bitsperdim" highest bits) to a hilbert address.
coordinatesToHilbert(byte[], int, int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter: Interleave one byte per dimension (using the "bitsperdim" highest bits) to a hilbert address.
coordref - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: The coordinate system node.
COPAC<V extends NumberVector<V,?>,D extends Distance<D>> - 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(FilteredLocalPCABasedDistanceFunction<V, ?, D>, Class<? extends ClusteringAlgorithm<Clustering<Model>>>, Collection<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Constructor.
copac - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer: The COPAC instance to use
COPAC.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Parameterization class.
COPAC.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer
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(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Returns a copy of this vector.
copy(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Make a deep copy of a matrix.
copy(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Copy a bitset
copy(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Copy a bitset.
copy(long[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Copy a bitset.
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.
copyAttributes(Document, Element, Element) - Method in class de.lmu.ifi.dbs.elki.utilities.xml.DOMCloner: Copy the attributes from an existing node to a new node.
copyFrom(SweepHullDelaunay2D.Triangle) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle: Copy the values from another triangle.
corepred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN: The core predicate factory.
corepred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance: The core object property
corepred - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer: Core point predicate
COREPRED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer: Parameter for core predicate
CorePredicate - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Predicate for GeneralizedDBSCAN to evaluate whether a point is a core point or not.
CorePredicate.Instance<T> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Instance for a particular data set.
CORRELATION_DISTANCE_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.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, Relation<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, Relation<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.
correlationDimensionality - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SubspaceProjectionResult: The correlation dimensionality
correlationDistance(PCAFilteredResult, PCAFilteredResult, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance: Computes the correlation distance between the two subspaces defined by the specified PCAs.
correlationDistance(V, V, BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance: 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.Instance: 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.Instance: Computes the correlation distance between the two specified vectors according to the specified preference vectors.
CorrelationDistance<D extends CorrelationDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancevalue: 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.distancevalue.CorrelationDistance: Empty constructor for serialization purposes.
CorrelationDistance(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.CorrelationDistance: Constructs a new CorrelationDistance object consisting of the specified correlation value and euclidean value.
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.distancevalue.CorrelationDistance: The correlation dimension.
cosAngle(NumberVector<?, ?>, NumberVector<?, ?>) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil: Compute the absolute cosine of the angle between two vectors.
CosineDistanceFunction - 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: Deprecated.
Use static instance
CosineDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Parameterization class.
CosineDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction.Parameterizer
count - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Node: Number of elements
count - Variable in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection: Number of records to produce
count - Variable in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer: Number of records to produce
COUNT_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer: Parameter for number of IDs to generate
counter - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: Object counter
counter - Variable in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations: Output counter
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.
countSharedNeighbors(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Instance: Compute the intersection size.
countSharedNeighbors(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction: Compute the intersection size
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.
covarianceMatrix - Variable in class de.lmu.ifi.dbs.elki.data.model.EMModel: Cluster covariance matrix
CovarianceMatrix - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: Class for computing covariance matrixes using stable mean and variance computations.
CovarianceMatrix(int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Constructor.
covarianceMatrix(Relation<? extends V>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Determines the covariance matrix of the objects stored in the given database.
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<? extends V,?>> - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Interface for computing covariance matrixes on a data set.
covarianceMatrixBuilder - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: The covariance computation class.
covarianceMatrixBuilder - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner.Parameterizer: 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(DBID, 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.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
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(String[]) - Static method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Create the GUI and show it.
createAndShowGUI() - Static method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI: Create the GUI and show it.
createBulkDirectoryNodes(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree: Creates and returns the directory nodes for bulk load.
createBulkLeafNodes(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Creates and returns the leaf nodes for bulk load.
createContext(ColorModel, ColorModel, RenderingHints) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
createDBObject(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Creates a database object of type V.
createEmptyRoot(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Creates an empty root node and writes it to file.
createEmptyRoot(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
createEmptyRoot(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Creates a header for this index structure which is an instance of TreeIndexHeader.
createHeader() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
createImage(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailTranscoder
createNewDirectoryEntry(N, DBID, 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>, DBID, 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>, DBID, 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>, DBID, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewDirectoryEntry(MkTabTreeNode<O, D>, DBID, 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>, DBID, 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(RStarTreeNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree
createNewDirectoryNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode() - 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() - 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() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewDirectoryNode() - 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() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createNewDirectoryNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new directory node with the specified capacity.
createNewDirectoryNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Creates a new directory node with the specified capacity.
createNewLeafEntry(DBID, O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(DBID, O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(DBID, O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
createNewLeafEntry(DBID, O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex: Creates a new leaf entry representing the specified data object in the specified subtree.
createNewLeafEntry(DBID, O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
createNewLeafEntry(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Creates a new leaf entry representing the specified data object.
createNewLeafEntry(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Create a new leaf entry.
createNewLeafNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Creates a new leaf node with the specified capacity.
createNewLeafNode() - 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() - 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() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
createNewLeafNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
createNewLeafNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
createNewLeafNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new leaf node with the specified capacity.
createNewLeafNode() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree: Creates a new leaf node with the specified capacity.
createNewRoot(N, N, DBID, DBID) - 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.
createParent(String, Cluster<DendrogramModel<D>>, Cluster<DendrogramModel<D>>, D, ModifiableHierarchy<Cluster<DendrogramModel<D>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK
createRoot(N, List<E>) - 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.IndexTree: Creates an entry representing the root node.
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.rstar.RStarTree
createStorage() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: Create the default storage.
cref - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer: A weak reference to the component the plot is in.
crep - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: Class label representation
crossoverOptimized(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: method implements the crossover algorithm
CSS_ARROW - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization: CSS tag for our event rectangle
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_LABEL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisFactory: Axis labels
CSS_AXIS_TICK - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis: CSS class name for the axes
CSS_BRACKET - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization: CSS class for markers
CSS_CUBE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization: CSS class for the filled cube
CSS_CUBEFRAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization: CSS class for the cube frame
CSS_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization: CSS-Styles
CSS_LINE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization: CSS-Styles
CSS_MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization: CSS class for markers
CSS_MEAN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization: CSS class name for center of the means
CSS_MEAN_CENTER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization: CSS class name for center of the means
CSS_MEAN_STAR - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization: CSS class name for center of the means
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization: CSS class for markers
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization: Generic tag to indicate the type of element.
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization: CSS class of the selection rectangle while selecting.
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization: Generic tag to indicate the type of element.
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization: CSS class of the selection rectangle while selecting.
CSS_STEEP_DOWN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization: CSS class for markers
CSS_STEEP_UP - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization: CSS class for markers
CSS_TOOL_BUTTON - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization: CSS class for a tool button
CSS_TOOL_BUTTON_SELECTED - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization: CSS class for a tool button
CSS_TOOL_CAPTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization: CSS class for the tool button caption
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.scatterplot.cluster.ClusterOrderVisualization: CSS class name
CTLuGLSBackwardSearchAlgorithm<V extends NumberVector<?,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: GLS-Backward Search is a statistical approach to detecting spatial outliers.
CTLuGLSBackwardSearchAlgorithm(DistanceFunction<V, D>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm: Constructor.
CTLuGLSBackwardSearchAlgorithm.Parameterizer<V extends NumberVector<?,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class
CTLuGLSBackwardSearchAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer
CTLuMeanMultipleAttributes<N,O extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Mean Approach is used to discover spatial outliers with multiple attributes.
CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes: Constructor
CTLuMeanMultipleAttributes.Parameterizer<N,O extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class.
CTLuMeanMultipleAttributes.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes.Parameterizer
CTLuMedianAlgorithm<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Median Algorithm of C.
CTLuMedianAlgorithm(NeighborSetPredicate.Factory<N>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm: Constructor
CTLuMedianAlgorithm.Parameterizer<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class
CTLuMedianAlgorithm.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm.Parameterizer
CTLuMedianMultipleAttributes<N,O extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Median Approach is used to discover spatial outliers with multiple attributes.
CTLuMedianMultipleAttributes(NeighborSetPredicate.Factory<N>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes: Constructor
CTLuMedianMultipleAttributes.Parameterizer<N,O extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class.
CTLuMedianMultipleAttributes.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes.Parameterizer
CTLuMoranScatterplotOutlier<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Moran scatterplot outliers, based on the standardized deviation from the local and global means.
CTLuMoranScatterplotOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier: Constructor
CTLuMoranScatterplotOutlier.Parameterizer<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class
CTLuMoranScatterplotOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier.Parameterizer
CTLuRandomWalkEC<N,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Spatial outlier detection based on random walks.
CTLuRandomWalkEC(DistanceFunction<N, D>, double, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC: Constructor
CTLuRandomWalkEC.Parameterizer<N,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class.
CTLuRandomWalkEC.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer
CTLuScatterplotOutlier<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.
CTLuScatterplotOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier: Constructor
CTLuScatterplotOutlier.Parameterizer<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class
CTLuScatterplotOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier.Parameterizer
CTLuZTestOutlier<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.
CTLuZTestOutlier(NeighborSetPredicate.Factory<N>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier: Constructor
CTLuZTestOutlier.Parameterizer<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterization class
CTLuZTestOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier.Parameterizer
CTriple<FIRST extends Comparable<? super FIRST>,SECOND extends Comparable<? super SECOND>,THIRD extends Comparable<? super 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
ctrlLayer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer: The two main layers
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.
cubicTo(double[], double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Cubic Bezier line to the given coordinates.
cubicTo(Vector, Vector, Vector) - 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.database.ids.generic.DBIDIterAdapter: Current DBID
cur - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.KNNUtil.DBIDItr: Current result
cur - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Current parent for nested parameterization
cur - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
curid - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter: The next ID to assign
curiter - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Current iterator
curlbl - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Current labels
current - Variable in class de.lmu.ifi.dbs.elki.utilities.iterator.MergedIterator: The iterator we are currently processing
current - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: Parameters we used before, but have rewound
currentDataStoreEventType - Variable in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: The type of the current DataStoreEvent to be accumulated.
currentSubplot - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow: Currently selected subplot.
cursor - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap.Itr: Cursor position
curvec - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Current vector
curves - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer: Internal storage of the curves flag.
curves - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Factory: Internal storage of the curves flag.
curves - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Factory.Parameterizer: Internal storage of the curves flag.
cutoff - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS: Candidates limit
cutoff - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer: Holds the value of HiCS.Parameterizer.LIMIT_ID
cutoff - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling: The value we cut off at.
cycleLeftC(long, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Rotate a long to the left, cyclic with length len
cycleLeftI(long[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Cycle a bitstring to the right.
cycleRightC(long, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Rotate a long to the right, cyclic with length len
cycleRightI(long[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Cycle a bitstring to the right.

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