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.lof.LDF
Scaling constant, to limit value range to 1/c
c - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF.Parameterizer
Scaling constant, to limit value range to 1/c
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.distance.similarityfunction.kernel.RationalQuadraticKernelFunction
Constant term c.
c - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RationalQuadraticKernelFunction.Parameterizer
C parameter
c - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction
Scaling factor c, bias theta
c - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer
C parameter, theta parameter
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 - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.PreferenceComparator
Meta to use for comparison.
C1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
C2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
C3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
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.lof.LDF.Parameterizer
Option ID for c
C_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer
Parameter to specify the c.
C_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RationalQuadraticKernelFunction.Parameterizer
C parameter
C_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer
C parameter: scaling
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.Parameterizer
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.CacheDoubleDistanceKNNLists.Parameterizer
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.CacheDoubleDistanceRangeQueries.Parameterizer
Parameter that specifies the name of the directory to be re-parsed.
CACHE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer
Option ID for the kNN file.
CACHE_SHIFT - Static variable in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.Histogram
This parameter controls the cache size used for dynamic histograms before setting the initial thresholds.
CACHE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer
Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.
cachec - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Cache for data to be inserted.
cachec - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Cache for data to be inserted.
cachec - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Cache for data to be inserted.
cachec - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Cache for data to be inserted.
cachec - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Cache for data to be inserted.
CachedDoubleDistanceKNNPreprocessor<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Preprocessor that loads an existing cached kNN result.
CachedDoubleDistanceKNNPreprocessor(Relation<O>, DistanceFunction<? super O, DoubleDistance>, int, File) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor
Constructor.
CachedDoubleDistanceKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
The parameterizable factory.
CachedDoubleDistanceKNNPreprocessor.Factory(int, DistanceFunction<? super O, DoubleDistance>, File) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
Index factory.
CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
Parameterization class.
CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer
 
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
Precompute an on-disk distance matrix, using double precision.
CacheDoubleDistanceInOnDiskMatrix(InputStep, 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
 
CacheDoubleDistanceKNNLists<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.cache
Precompute the k nearest neighbors in a disk cache.
CacheDoubleDistanceKNNLists(InputStep, DistanceFunction<O, D>, int, File) - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists
Constructor.
CacheDoubleDistanceKNNLists.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.cache
Parameterization class.
CacheDoubleDistanceKNNLists.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer
 
CacheDoubleDistanceRangeQueries<O> - Class in de.lmu.ifi.dbs.elki.application.cache
Precompute the k nearest neighbors in a disk cache.
CacheDoubleDistanceRangeQueries(InputStep, DistanceFunction<O, DoubleDistance>, double, File) - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries
Constructor.
CacheDoubleDistanceRangeQueries.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.application.cache
Parameterization class.
CacheDoubleDistanceRangeQueries.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer
 
cachefill - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Cache fill size
cachefill - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Cache fill size
cachefill - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Cache fill size
cachefill - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Cache fill size
cachefill - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Cache fill size
cachefill - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Cache fill size
CacheFloatDistanceInOnDiskMatrix<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.application.cache
Precompute an on-disk distance matrix, using double precision.
CacheFloatDistanceInOnDiskMatrix(InputStep, 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
 
cacheposs - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Cache for positions to be inserted.
cacheSize - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache
The maximum number of objects in this cache.
cacheSize - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory
Cache size, in bytes.
cacheSize - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer
Cache size, in bytes.
cacheSizeBytes - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache
Cache size in bytes.
cachev - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Cache for data to be inserted.
cachev - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Cache for data to be inserted.
cachev - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Cache for data to be inserted.
cachev - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Cache for data to be inserted.
cachev - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Cache for data to be inserted.
cachevals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Cache for data to be inserted.
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.lof.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>, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS
Calculates the actual contrast of a given subspace.
calculateContrast(Relation<? extends NumberVector<?>>, DBIDs, ArrayDBIDs, ArrayDBIDs, int, int, Random) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity
Calculates the actual contrast of a given subspace
calculateCost(Clustering<? extends MeanModel<V>>, PrimitiveDistanceFunction<? super V, ? extends D>, Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.KMeansQualityMeasure
Calculates and returns the quality measure.
calculateCost(Clustering<? extends MeanModel<V>>, PrimitiveDistanceFunction<? super V, ? extends NumberDistance<?, ?>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterMeanDistanceQualityMeasure
 
calculateCost(Clustering<? extends MeanModel<V>>, PrimitiveDistanceFunction<? super V, ? extends NumberDistance<?, ?>>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterVarianceQualityMeasure
 
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>, Random) - 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.
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
Canonical bandwidth: 35^(1/5)
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction
Canonical bandwidth.
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction
Canonical bandwidth: 15^(1/5)
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction
Canonical bandwidth: (1./(4*pi))^(1/10)
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction
Canonical bandwidth.
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction
Canonical bandwidth.
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction
Canonical bandwidth: (9450/143)^(1/5)
CANONICAL_BANDWIDTH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
Canonical bandwidth: (9/2)^(1/5)
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
 
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction
 
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction
 
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction
 
canonicalBandwidth() - Method in interface de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.KernelDensityFunction
Get the canonical bandwidth for this kernel.
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction
 
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction
 
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction
 
canonicalBandwidth() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
 
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.
CanopyPreClustering<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Canopy pre-clustering is a simple preprocessing step for clustering.
CanopyPreClustering(DistanceFunction<? super O, D>, D, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering
Constructor.
CanopyPreClustering.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Parameterization class
CanopyPreClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer
 
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<V extends NumberVector<?>> - 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!).
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!).
CategorialDataAsNumberVectorParser<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.parser
A very simple parser for categorial data, which will then be encoded as numbers.
CategorialDataAsNumberVectorParser(NumberVector.Factory<V, ?>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
Constructor with defaults.
CategorialDataAsNumberVectorParser(Pattern, String, Pattern, BitSet, NumberVector.Factory<V, ?>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
Constructor.
CategorialDataAsNumberVectorParser.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.parser
Parameterization class.
CategorialDataAsNumberVectorParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser.Parameterizer
 
CauchyDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Cauchy distribution.
CauchyDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
Constructor with default random.
CauchyDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
Constructor.
CauchyDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
Constructor.
CauchyDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Parameterization class
CauchyDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution.Parameterizer
 
CauchyMADEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Estimate Cauchy distribution parameters using Median and MAD.
CauchyMADEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.CauchyMADEstimator
Private constructor, use static instance!
CauchyMADEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Parameterization class.
CauchyMADEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.CauchyMADEstimator.Parameterizer
 
CauchyRandomProjectionFamily - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Random projections using Cauchy distributions (1-stable).
CauchyRandomProjectionFamily(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.CauchyRandomProjectionFamily
Constructor.
CauchyRandomProjectionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Parameterization class.
CauchyRandomProjectionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.CauchyRandomProjectionFamily.Parameterizer
 
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.CauchyDistribution
 
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
PDF function, static version.
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.ExponentialDistribution
 
cdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution
Cumulative density, static version
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
 
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
Cumulative probability density function (CDF) of an exgauss distribution.
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, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
CDF of GEV distribution
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
 
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
Cumulative density function.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
 
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
Cumulative density function.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
 
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
CDF of Weibull distribution
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
 
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
 
cdf(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
Cumulative density function.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
 
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
 
cdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
Cumulative density, static version
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution
 
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution
The CDF, static version.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution
 
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution
The CDF, static version.
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
Cumulative density function.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
 
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
Cumulative density function.
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
 
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
 
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
Cumulative probability density function (CDF) of a normal distribution.
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.RayleighDistribution
 
cdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution
CDF of Rayleigh distribution
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
 
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
Cumulative probability density function (CDF) of a normal distribution.
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
 
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
 
cdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
Cumulative probability density function (CDF) of a Wald distribution.
cdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
CDF of Weibull distribution
cdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
 
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.lof.ALOCI.Node
Center vector
center - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.SODModel
Center vector
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 Schoelkopf, Learning with Kernels p. 431 Alters the input matrix.
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 - 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.
CentroidLinkageMethod - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Centroid linkage clustering method, aka UPGMC: Unweighted Pair-Group Method using Centroids.
CentroidLinkageMethod() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CentroidLinkageMethod
Deprecated.
use the static instance CentroidLinkageMethod.STATIC instead.
CentroidLinkageMethod.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Class parameterizer.
CentroidLinkageMethod.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CentroidLinkageMethod.Parameterizer
 
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.
CHAR_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Adapter for char arrays.
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
 
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.Instance
 
checkService(String, boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices
Check a single service class
checkServices(boolean, boolean) - Method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices
Retrieve all properties and check them.
ChengAndChurch<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering
Perform Cheng and Church biclustering.
ChengAndChurch(double, double, int, Distribution) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
Constructor.
ChengAndChurch.BiclusterCandidate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering
Bicluster candidate.
ChengAndChurch.BiclusterCandidate(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Constructor.
ChengAndChurch.CellVisitor - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering
Visitor pattern for processing cells.
ChengAndChurch.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering
Parameterization class.
ChengAndChurch.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
 
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.
ChiDistribution(double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
Constructor.
ChiDistribution(double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
Constructor.
ChiDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Parameterization class
ChiDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution.Parameterizer
 
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.HashMapHierarchy.ItrDesc
Iterator over children
children - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.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.HashMapHierarchy.Rec
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)
ChiSquaredDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
Chi-Squared distance function, symmetric version.
ChiSquaredDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
Deprecated.
Use static instance!
ChiSquaredDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
Parameterization class, using the static instance.
ChiSquaredDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction.Parameterizer
 
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.
ChiSquaredDistribution(double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution
Constructor.
ChiSquaredDistribution(double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution
Constructor.
ChiSquaredDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Parameterization class
ChiSquaredDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution.Parameterizer
 
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.
chiSquaredUniformTest(SetDBIDs[], long[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
Performs a ChiSquared test to determine whether an attribute has a uniform distribution.
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(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FarthestPointsInitialMeans
 
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FirstKInitialMeans
 
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansInitialization
Choose initial means
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansPlusPlusInitialMeans
 
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.PAMInitialMeans
 
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyChosenInitialMeans
 
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.RandomlyGeneratedInitialMeans
 
chooseInitialMeans(Database, Relation<V>, int, PrimitiveDistanceFunction<? super NumberVector<?>, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SampleKMeansInitialization
 
chooseInitialMedoids(int, DistanceQuery<? super V, ?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FarthestPointsInitialMeans
 
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(AbstractMTree<O, D, N, E, ?>, E) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert.MinimumEnlargementInsert
 
choosePath(AbstractMTree<O, D, N, E, ?>, E, IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert.MinimumEnlargementInsert
Chooses the best path of the specified subtree for insertion of the given object.
choosePath(AbstractMTree<O, D, N, E, ?>, E) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert.MTreeInsert
Choose the subpath to insert into.
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.
choosePrime(Random) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Choose a random prime.
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() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
Constructor
CircleSegmentsVisualizer.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments
Instance
CircleSegmentsVisualizer.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
Constructor
CircleSegmentsVisualizer.Instance.SegmentListenerProxy - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments
Proxy element to connect signals.
CircleSegmentsVisualizer.Instance.SegmentListenerProxy(Segment, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy
Constructor.
cl - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
Classloader
ClarkDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Clark distance function for vector spaces.
ClarkDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction
Deprecated.
Use ClarkDistanceFunction.STATIC instance instead.
ClarkDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Parameterization class.
ClarkDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction.Parameterizer
 
CLARKE1858_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel
Flattening f of the CLARKE1858 Ellipsoid.
CLARKE1858_INV_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel
Inverse flattening 1/f of the CLARKE1858 Ellipsoid.
CLARKE1858_RADIUS - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel
Radius of the CLARKE1858 Ellipsoid in m (a).
Clarke1858SpheroidEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy
The Clarke 1858 spheroid earth model.
Clarke1858SpheroidEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel
Constructor.
Clarke1858SpheroidEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy
Parameterization class.
Clarke1858SpheroidEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel.Parameterizer
 
CLARKE1880_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel
Flattening f of the CLARKE1880 Ellipsoid.
CLARKE1880_INV_FLATTENING - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel
Inverse flattening 1/f of the CLARKE1880 Ellipsoid.
CLARKE1880_RADIUS - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel
Radius of the CLARKE1880 Ellipsoid in m (a).
Clarke1880SpheroidEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy
The Clarke 1880 spheroid earth model.
Clarke1880SpheroidEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel
Constructor.
Clarke1880SpheroidEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy
Parameterization class.
Clarke1880SpheroidEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel.Parameterizer
 
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.Parameterizer
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.Parameterizer
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
Fake Constructor.
ClassicMultidimensionalScalingTransform<O> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
Rescale the data set using multidimensional scaling, MDS.
ClassicMultidimensionalScalingTransform(int, PrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
Constructor.
ClassicMultidimensionalScalingTransform.Parameterizer<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
Parameterization class.
ClassicMultidimensionalScalingTransform.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer
 
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
 
ClassLabelFromPatternFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
Streaming filter to derive an outlier class label.
ClassLabelFromPatternFilter(Pattern, String, String) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter
Constructor.
ClassLabelFromPatternFilter(Pattern, SimpleClassLabel, SimpleClassLabel) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter
Constructor.
ClassLabelFromPatternFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
ClassLabelFromPatternFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter.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<String>) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator.SuperPopup
Constructor.
CLASSLOADER - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil
Class loader
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
 
classSize(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.style.ClassStylingPolicy
Get the number of elements in the styling class.
classSize(int) - Method in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy
 
classSize(int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
 
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.distance.DoubleDistanceDBIDPairList
 
clear() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.KNNHeap
Clear the heap.
clear() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.ModifiableDoubleDistanceDBIDList
Clear the list contents.
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.AbstractKNNHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList
 
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList
 
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.ComparableMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
 
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap
Delete all elements from the heap.
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap
Clear the heap contents.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
 
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap
Clear the heap contents.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
 
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap
Clear the heap contents.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
Clear the heap.
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap
Delete all elements from the heap.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
 
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap
Clear the heap contents.
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
 
clear() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
 
clear() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap
Delete all elements from the 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.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.
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<?>> - 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<?>> - 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<?>> - 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<?>> - 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() - 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(T) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
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.
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
 
closeStream(PrintStream) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
 
closeStream(PrintStream) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput
 
closeStream(PrintStream) - Method in interface de.lmu.ifi.dbs.elki.result.textwriter.StreamFactory
Close the given output stream (Note: when writing to a single stream output, it will actually not be closed!)
CLR_BORDER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
CSS border class of a cluster
CLR_CLUSTER_CLASS_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
CSS class name for the clusterings.
CLR_HOVER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
CSS hover class of a segment cluster
CLR_UNPAIRED_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
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.Instance
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) - Constructor for class de.lmu.ifi.dbs.elki.data.Cluster
Full constructor
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 - 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.
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.Instance
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
 
clusterData(DBIDs, RangeQuery<O, D>, WritableDoubleDataStore, WritableDataStore<ModifiableDBIDs>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF
This method applies a density based clustering algorithm.
ClusterEvaluationVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj
Pseudo-Visualizer, that lists the cluster evaluation results found.
ClusterEvaluationVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisualization
Constructor.
CLUSTERHULL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
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(ClusterHullVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization
Constructor.
ClusterHullVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
Instance.
ClusterHullVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.Instance
Constructor
ClusterHullVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
Parameterization class.
ClusterHullVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization.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 - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
The result we visualize
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
The result we visualize.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
Clustering to visualize.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
The result we work on
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Instance
The result we work on.
clustering - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
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.Instance
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(ClusterMeanVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
Constructor.
ClusterMeanVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
Instance.
ClusterMeanVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
Constructor.
ClusterMeanVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
Parameterization class.
ClusterMeanVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.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: connect objects via the spanning tree the cluster order represents.
ClusterOrderVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
Constructor, adhering to Parameterizable
ClusterOrderVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
Instance
ClusterOrderVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
 
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() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
Constructor, adhering to Parameterizable
ClusterOutlineVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster
Instance
ClusterOutlineVisualization.Instance(VisualizationTask, boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
Constructor.
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() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
Constructor, adhering to Parameterizable.
ClusterParallelMeanVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster
Instance.
ClusterParallelMeanVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
Constructor.
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.visualization.style.ClusterStylingPolicy
Map from cluster objects to color offsets.
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.lof.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.
colcard - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Cardinalities.
colDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Column dimensionality.
colIDs - Variable in class de.lmu.ifi.dbs.elki.data.model.BiclusterModel
The column numbers 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.
colM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Means.
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 - 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(ColoredHistogramVisualizer.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
Constructor.
ColoredHistogramVisualizer.Instance<NV extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram
Instance
ColoredHistogramVisualizer.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
Constructor.
ColoredHistogramVisualizer.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram
Parameterization class.
ColoredHistogramVisualizer.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.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.
colorMultiply(int, double, boolean) - Method in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances
 
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 integer RGB color to CSS syntax Note: currently only RGB (from ARGB order) are supported.
cols - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Row and column bitmasks.
cols - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter
Number of columns
cols - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram
Desired number of columns in each bin.
cols - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram
Desired number of columns in each bin.
cols - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram
Desired number of columns in each bin.
colsBitsetToIDs(BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Convert a bitset into integer column ids.
colsBitsetToIDs(long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Convert a bitset into integer column ids.
colSep - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer
Stores the column separator pattern
colSep - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.Tokenizer
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.Parameterizer
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
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CentroidLinkageMethod
 
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CompleteLinkageMethod
 
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.GroupAverageLinkageMethod
 
combine(int, double, int, double, int, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.LinkageMethod
Compute combined linkage for two clusters.
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MedianLinkageMethod
 
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SingleLinkageMethod
 
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WardLinkageMethod
 
combine(int, double, int, double, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WeightedAverageLinkageMethod
 
combine(double[]) - Method in interface de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVoting
Combine scores function.
combine(double[], int) - Method in interface de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVoting
Combine scores function.
combine(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingInverseMultiplicative
 
combine(double[], int) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingInverseMultiplicative
 
combine(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMax
 
combine(double[], int) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMax
 
combine(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMean
 
combine(double[], int) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMean
 
combine(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian
 
combine(double[], int) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian
 
combine(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMin
 
combine(double[], int) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMin
 
combine(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMultiplicative
 
combine(double[], int) - Method in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMultiplicative
 
combine(int, double, int, double, int, double) - Method in enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage
 
combine(int, double, int, double, int, double) - Method in enum tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage
 
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 - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
Comment pattern.
comment - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer
Comment pattern.
comment - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser
Comment pattern.
comment - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer
Comment pattern.
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_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser.Parameterizer
Comment pattern.
COMMENT_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
Default pattern for comments.
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.
CommonConstraints - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
Class storing a number of very common constraints.
CommonConstraints() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.CommonConstraints
 
commonPreferenceVector - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
The common preference vector of the two objects defining this distance.
ComparableMaxHeap<K extends Comparable<? super K>> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
ComparableMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
Constructor, with default size.
ComparableMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
Constructor, with given minimum size.
ComparableMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
ComparableMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter
 
ComparableMinHeap<K extends Comparable<? super K>> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
ComparableMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
Constructor, with default size.
ComparableMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
Constructor, with given minimum size.
ComparableMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
ComparableMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter
 
COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
Comparator for sorting the heaps.
COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap
Comparator class.
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.ComparatorMaxHeap
Comparator
comparator - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
Comparator
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.
ComparatorMaxHeap<K> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
ComparatorMaxHeap(Comparator<? super K>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
Constructor, with default size.
ComparatorMaxHeap(int, Comparator<? super K>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
Constructor, with given minimum size.
ComparatorMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
ComparatorMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter
 
ComparatorMinHeap<K> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
ComparatorMinHeap(Comparator<? super K>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
Constructor, with default size.
ComparatorMinHeap(int, Comparator<? super K>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
Constructor, with given minimum size.
ComparatorMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
ComparatorMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter
 
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(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.ExtractFlatClusteringFromHierarchy.CompareByDoubleLambda
 
compare(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.ExtractFlatClusteringFromHierarchy.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(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMaxComparator
 
compare(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMeanComparator
 
compare(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMinComparator
 
compare(Subspace, Subspace) - Method in class de.lmu.ifi.dbs.elki.data.Subspace.DimensionComparator
Compares the two specified subspaces for order.
compare(DBIDRef, DBIDRef) - 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(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Compare two DBIDs, for sorting.
compare(DBIDRef, DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Compare two DBIDs.
compare(DoubleDistanceDBIDPair, DoubleDistanceDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap.Comp
 
compare(DoubleDistanceDBIDPair, DoubleDistanceDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap.RComp
 
compare(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
 
compare(IntegerDBIDVar, int, IntegerDBIDVar, int, Comparator<? super DBIDRef>) - Static method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort
Compare two elements.
compare(int, int) - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DecreasingVectorIter
 
compare(int, int) - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.IncreasingVectorIter
 
compare(DAFile, DAFile) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.WorstCaseDistComparator
 
compare(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore.DerivedComparator
 
compare(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore.ImpliedComparator
 
compare(DBIDRef, DBIDRef) - 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(int, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerComparator
Compare two integers.
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(DBIDArrayIter, int, DBIDArrayIter, int, Comparator<? super DBIDRef>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Compare two elements.
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
 
compare(int, int) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.PreferenceComparator
 
compareByDistance(DistanceDBIDPair<D>) - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DistanceDBIDPair
Compare to another result, by distance, smaller first.
compareByDistance(DistanceDBIDPair<D>) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DistanceIntegerDBIDPair
 
compareByDistance(DistanceDBIDPair<DoubleDistance>) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
 
compareGreater(T, int, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect.Adapter
Compare two elements.
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(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(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDoubleDBIDPair
 
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(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<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.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(GenericMTreeDistanceSearchCandidate) - Method in class de.lmu.ifi.dbs.elki.index.tree.query.GenericMTreeDistanceSearchCandidate
 
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(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.lof.LoOP
The distance function to determine the reachability distance between database objects.
comparisonDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP
Preprocessor Step 2.
comparisonDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer
Preprocessor Step 2.
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.
CompleteLinkageMethod - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Complete-linkage clustering method.
CompleteLinkageMethod() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CompleteLinkageMethod
Deprecated.
use the static instance CompleteLinkageMethod.STATIC instead.
CompleteLinkageMethod.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
Class parameterizer.
CompleteLinkageMethod.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CompleteLinkageMethod.Parameterizer
 
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.gui.util.ParameterTable.DispatchingPanel
Component to dispatch to.
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
 
computeABOF(Relation<V>, KernelMatrix, DBIDRef, MeanVariance) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
Compute the exact ABOF value.
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.
computeCentroids(int, List<V>, List<ClassLabel>, Map<ClassLabel, TIntList>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter
Compute the centroid for each class.
computeClusterQuality(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC
Computes the quality of a cluster based on its size and number of relevant attributes, as described via the μ-function from the paper.
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.
computeColResidue(double[][], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Computes the mean column residue of the given col.
computeConvexHull() - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D
Compute the convex hull.
computeDensity(DistanceDBIDList<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.
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity
 
computeDimensionSimilarites(Database, Relation<? extends V>, DBIDs, DimensionSimilarityMatrix) - Method in interface de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarity
Compute the dimension similarity matrix
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity
 
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity
 
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity
 
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity
 
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeInversionDimensionSimilarity
 
computeDimensionSimilarites(Database, Relation<? extends NumberVector<?>>, DBIDs, DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SURFINGDimensionSimilarity
 
computeDistanceMatrix(AbstractMTree<O, D, N, E, ?>, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MTreeSplit
Compute the pairwise distances in the given node.
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.
computeFuzzyMembership(Relation<V>, ArrayList<P3C.Signature>, ModifiableDBIDs, WritableDataStore<double[]>, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
Computes a fuzzy membership with the weights based on which cluster cores each data point is part of.
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
 
computeInverseMatrixes(Matrix[], Matrix[], double[], double) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
Compute the inverse cluster matrices.
ComputeKNNOutlierScores<O extends NumberVector<?>,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(InputStep, DistanceFunction<? super O, D>, int, int, int, ByLabelOutlier, File, ScalingFunction) - 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 extends NumberVector<?>,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, DoubleDataStore, KNNQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF
Computes the Local outlier factor (LOF) of the specified objects.
computeLOFScores(KNNQuery<O, D>, DBIDs, DoubleDataStore, WritableDoubleDataStore, DoubleMinMax) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF
Compute local outlier factors.
computeLRDs(DBIDs, KNNQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF
Computes the local reachability density (LRD) of the specified objects.
computeLRDs(KNNQuery<O, D>, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF
Compute local reachability distances.
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.
computeMAD(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractExpMADEstimator
Compute the median absolute deviation from median.
computeMAD(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMADEstimator
Compute the median absolute deviation from median.
computeMAD(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractMADEstimator
Compute the median absolute deviation from median.
computeMAD(double[], double, double[], int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator
 
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.
computeMeanSquaredDeviation(double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Compute the mean square residue.
computeMedoid(Relation<? extends NumberVector<?>>, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil
Compute medoid for a given subset.
computeMinMax(List<? extends SpatialComparable>) - 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
computePerDimensionVariances(Relation<? extends NumberVector<?>>, Vector, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD
Compute the per-dimension variances for the given neighborhood and center.
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, DistanceDBIDList<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, DistanceDBIDList<D>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex
 
computeProjection(DBIDRef, DistanceDBIDList<D>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex
 
computeProjectionMatrix(List<V>, List<? extends ClassLabel>, int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
computes the projection matrix
computeProjectionMatrix(List<V>, List<? extends ClassLabel>, int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter
 
computeReachdist(KNNList<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.
computeROCAUCDistanceResult(int, Cluster<?>, DistanceDBIDList<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, DistanceDBIDList<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.
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
 
computeRowResidue(double[][], int, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Computes the mean row residue of the given row.
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(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(ArrayList<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
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.
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
Get the filters parameter
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
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
configL(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer
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
Get the parser parameter
configRangeQueryDistanceFunction(Parameterization) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex.Factory.Parameterizer
 
configSeed(Parameterization) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.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.
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 - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution.Parameterizer
Parameters.
CONSTANT_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution.Parameterizer
Constant value parameter
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.
ConstantDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
Parameterization class
ConstantDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution.Parameterizer
 
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.constraints.ListEachConstraint
Constraints
constraints - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
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.
constructOneSignatures(SetDBIDs[][], long[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
Construct the 1-signatures by merging adjacent dense bins.
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.Instance
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.distance.DoubleDistanceDBIDPairList
 
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.DistanceDBIDPairKNNList
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericDistanceDBIDList
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList
 
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.ArrayModifiableIntegerDBIDs
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList
 
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.IntegerDBIDVar
 
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.ids.integer.UnmodifiableIntegerArrayDBIDs
 
contains(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
 
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.
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.
controlsize - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance
Active area size
convergence - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm
Terminate after 10 iterations with no changes.
convergence - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer
Number of stable iterations for convergence.
CONVERGENCE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer
Parameter for the convergence factor.
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<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.HistogramJitterFilter
 
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.SparseVectorFieldFilter
 
convertedType(SimpleTypeInformation<?>, NumberVector.Factory<V, ?>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter
Get the output type from the input type after conversion.
convertedType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
 
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter
 
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter
 
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter
 
convertedType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter
 
convertedType(SimpleTypeInformation<I>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter
 
ConvertToBundleApplication - Class in de.lmu.ifi.dbs.elki.application
Convert an input file to the more efficient ELKI bundle format.
ConvertToBundleApplication(DatabaseConnection, File) - Constructor for class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication
Constructor.
ConvertToBundleApplication.Parameterizer - Class in de.lmu.ifi.dbs.elki.application
Parameterization class.
ConvertToBundleApplication.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer
 
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.
COP<V extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Correlation outlier probability: Outlier Detection in Arbitrarily Oriented Subspaces Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Outlier Detection in Arbitrarily Oriented Subspaces
in: Proc.
COP(DistanceFunction<? super V, D>, int, PCARunner<V>, double, COP.DistanceDist, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.COP
Constructor.
COP.DistanceDist - Enum in de.lmu.ifi.dbs.elki.algorithm.outlier
Score type.
COP.DistanceDist() - Constructor for enum de.lmu.ifi.dbs.elki.algorithm.outlier.COP.DistanceDist
 
COP.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
COP.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer
 
COP_DIM - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP
Result name for the dimensionality.
COP_ERRORVEC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP
Result name for the error vectors.
COP_SCORES - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP
Result name for the COP outlier scores.
COPAC<V extends NumberVector<?>,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<?>,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.
COPOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier
CDF based outlier score scaling.
COPOutlierScaling(double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling
Constructor.
COPOutlierScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier
Parameterization class.
COPOutlierScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling.Parameterizer
 
COPVectorVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
Visualize error vectors as produced by COP.
COPVectorVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
Constructor.
COPVectorVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
Visualize error vectors as produced by COP.
COPVectorVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
Constructor.
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.
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.
copyToFullMatrix() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
Transform linear triangle matrix into a full matrix.
core - Variable in class de.lmu.ifi.dbs.elki.data.model.CoreObjectsModel
Objects that are part of the cluster core.
coremodel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN
Track which objects are "core" objects.
coremodel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance
Track which objects are "core" objects.
coremodel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer
Track which objects are "core" objects.
COREMODEL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer
Flag to keep track of core points.
CoreObjectsModel - Class in de.lmu.ifi.dbs.elki.data.model
Cluster model using "core" objects.
CoreObjectsModel(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.data.model.CoreObjectsModel
Constructor.
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<?>> - 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<?>> - 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.
cos(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable
Get Cosine by step value.
cos(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable.FullTable
Get Cosine by step value.
cos(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable
Get Cosine by step value.
cos(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable.QuarterTable
Get Cosine by step value.
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
 
cosineFormulaDeg(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
Compute the approximate great-circle distance of two points using the Haversine formula Complexity: 6 (2 of which emulated) trigonometric functions.
cosineFormulaRad(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
Compute the approximate great-circle distance of two points using the Spherical law of cosines.
CosineKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
Cosine kernel density estimator.
CosineKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction
Private, empty constructor.
CosineKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
Parameterization stub.
CosineKernelDensityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction.Parameterizer
 
costable - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.FullTable
Data store
costable - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable
Data store
costable - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.QuarterTable
Data store
cosToSin(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Fast way of computing sin(x) from x and cos(x).
count - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.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
countAboveThreshold(int[][], double) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity
Count the number of cells above the threshold.
countDistanceCalculation() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics
Count a distance computation.
countDistanceCalculation() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics
Count a distance computation.
countDistanceComputation() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
Count a distance computation.
counter - Variable in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
The counter to use.
Counter - Interface in de.lmu.ifi.dbs.elki.logging.statistics
Simple statistic by counting.
counter - Variable in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
The counter to use.
counter - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Counter, for max iterations of fast function.
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
countKNNQuery() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics
Count a knn query invocation.
countKNNQuery() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics
Count a knn query invocation.
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.
countObjectAccess() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
Count a single object access.
countRangeQuery() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics
Count a range query invocation.
countRangeQuery() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics
Count a range query invocation.
countRead() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile
Count a page read access.
countRefinement() - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex
Count a single distance refinement.
countRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex
Increment the refinement counter, if in use.
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.
countWrite() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFile
Count a page write access.
CovarianceDimensionSimilarity - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Class to compute the dimension similarity based on covariances.
CovarianceDimensionSimilarity() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity
Constructor.
CovarianceDimensionSimilarity.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Parameterization class.
CovarianceDimensionSimilarity.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity.Parameterizer
 
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.
CovarianceMatrixBuilder<V extends NumberVector<?>> - 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
Covariance matrix builder.
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
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, double) - 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, double) - 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, double) - 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, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
 
createNewDirectoryEntry(MkTabTreeNode<O, D>, DBID, double) - 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, double) - 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, double) - 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, double) - 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, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
 
createNewLeafEntry(DBID, O, double) - 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, double) - 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(DBIDRef) - 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.
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
 
createSettings() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer
Create the settings object
createSettings() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Parameterizer
 
createSettings() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory.Parameterizer
 
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
cross3D(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
Cross product for 3d vectors, i.e.
cross3D(double[], double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Cross product for 3d vectors, i.e.
crossoverOptimized(ArrayList<AggarwalYuEvolutionary.Individuum>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch
method implements the crossover algorithm
crossTrackDistanceDeg(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
Compute the cross-track distance.
crossTrackDistanceDeg(double, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
Compute the cross-track distance.
crossTrackDistanceRad(double, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
Compute the cross-track distance.
crossTrackDistanceRad(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
Compute the cross-track distance.
CSS_ARROW - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
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.XYCurveVisualization
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.Instance
CSS class for markers
CSS_CUBE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
CSS class for the filled cube
CSS_CUBEFRAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
CSS class for the cube frame
CSS_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
CSS-Styles
CSS_LINE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
CSS-Styles
CSS_MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
CSS class for markers
CSS_MEAN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization.Instance
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.Instance
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.Instance
CSS class name for center of the means
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
CSS class for markers
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
Generic tag to indicate the type of element.
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
CSS class of the selection rectangle while selecting.
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
Generic tag to indicate the type of element.
CSS_RANGEMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
CSS class of the selection rectangle while selecting.
CSS_STEEP_DOWN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
CSS class for markers
CSS_STEEP_UP - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Instance
CSS class for markers
CSS_TOOL_BUTTON - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
CSS class for a tool button
CSS_TOOL_BUTTON_SELECTED - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
CSS class for a tool button
CSS_TOOL_CAPTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
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.Instance
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.Instance
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.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
Current object.
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.math.statistics.distribution.HaltonUniformDistribution
Current value
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.
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.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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Release 0.6.0 (2014-01-10_1610)