Uses of Class
de.lmu.ifi.dbs.elki.utilities.RandomFactory

Packages that use RandomFactory

Package	Description
de.lmu.ifi.dbs.elki.algorithm.benchmark	Benchmarking pseudo algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.database.ids	Database object identification and ID group handling API.
de.lmu.ifi.dbs.elki.datasource	Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.
de.lmu.ifi.dbs.elki.datasource.filter.transform	Data space transformations.
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies	Hash function families for LSH.
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.projected	Projected indexes for data.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split	Splitting strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.math.dimensionsimilarity	Functions to compute the similarity of dimensions (or the interestingness of the combination).
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections	Random projection families.
de.lmu.ifi.dbs.elki.math.statistics.distribution	Standard distributions, with random generation functionalities.
de.lmu.ifi.dbs.elki.utilities	Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters	Classes for various typed parameters.
de.lmu.ifi.dbs.elki.visualization	Visualization package of ELKI.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.benchmark

Fields in de.lmu.ifi.dbs.elki.algorithm.benchmark declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	RangeQueryBenchmarkAlgorithm.random Random generator factory
protected RandomFactory	RangeQueryBenchmarkAlgorithm.Parameterizer.random Random generator factory
protected RandomFactory	KNNBenchmarkAlgorithm.random Random generator factory
protected RandomFactory	KNNBenchmarkAlgorithm.Parameterizer.random Random generator factory
protected RandomFactory	ValidateApproximativeKNNIndex.random Random generator factory
protected RandomFactory	ValidateApproximativeKNNIndex.Parameterizer.random Random generator factory

Constructors in de.lmu.ifi.dbs.elki.algorithm.benchmark with parameters of type RandomFactory

Constructor and Description
KNNBenchmarkAlgorithm(DistanceFunction<? super O,D> distanceFunction, int k, DatabaseConnection queries, double sampling, RandomFactory random) Constructor.
RangeQueryBenchmarkAlgorithm(DistanceFunction<? super O,D> distanceFunction, DatabaseConnection queries, double sampling, RandomFactory random) Constructor.
ValidateApproximativeKNNIndex(DistanceFunction<? super O,D> distanceFunction, int k, DatabaseConnection queries, double sampling, boolean forcelinear, RandomFactory random, Pattern pattern) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	ORCLUS.rnd Random generator
protected RandomFactory	ORCLUS.Parameterizer.rnd
private RandomFactory	LMCLUS.rnd Random factory
private RandomFactory	LMCLUS.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type RandomFactory

Constructor and Description
LMCLUS(int maxdim, int minsize, int samplingLevel, double sensitivityThreshold, RandomFactory rnd) Constructor.
ORCLUS(int k, int k_i, int l, double alpha, RandomFactory rnd, PCARunner<V> pca) Java constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans declared as RandomFactory

Modifier and Type	Field and Description
(package private) RandomFactory	KMeansBatchedLloyd.random Random used for partitioning.
(package private) RandomFactory	KMeansBatchedLloyd.Parameterizer.random Random used for partitioning.
protected RandomFactory	AbstractKMeansInitialization.rnd Random number generator
protected RandomFactory	AbstractKMeansInitialization.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans with parameters of type RandomFactory

Constructor and Description
AbstractKMeansInitialization(RandomFactory rnd) Constructor.
FarthestPointsInitialMeans(RandomFactory rnd, boolean dropfirst) Constructor.
KMeansBatchedLloyd(PrimitiveDistanceFunction<NumberVector<?>,D> distanceFunction, int k, int maxiter, KMeansInitialization<V> initializer, int blocks, RandomFactory random) Constructor.
KMeansPlusPlusInitialMeans(RandomFactory rnd) Constructor.
RandomlyChosenInitialMeans(RandomFactory rnd) Constructor.
RandomlyGeneratedInitialMeans(RandomFactory rnd) Constructor.
SampleKMeansInitialization(RandomFactory rnd, KMeans<V,D,?> innerkMeans, double rate) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	DOC.Parameterizer.random Random seeding factory.
private RandomFactory	DOC.rnd Randomizer used internally for sampling points.
private RandomFactory	PROCLUS.rnd Random generator
protected RandomFactory	PROCLUS.Parameterizer.rnd

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type RandomFactory

Constructor and Description
DOC(double alpha, double beta, double w, boolean heuristics, int d_zero, RandomFactory random) Constructor.
PROCLUS(int k, int k_i, int l, int m_i, RandomFactory rnd) Java constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.outlier

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	AggarwalYuEvolutionary.rnd Random generator.
protected RandomFactory	AggarwalYuEvolutionary.Parameterizer.rnd

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type RandomFactory

Constructor and Description
AggarwalYuEvolutionary(int k, int phi, int m, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.lof declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	ALOCI.rnd Random generator
protected RandomFactory	ALOCI.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.lof with parameters of type RandomFactory

Constructor and Description
ALOCI(NumberVectorDistanceFunction<D> distanceFunction, int nmin, int alpha, int g, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.meta declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	HiCS.rnd Random generator.
private RandomFactory	HiCS.Parameterizer.rnd Random generator.
private RandomFactory	FeatureBagging.rnd Random number generator for subspace choice.
protected RandomFactory	FeatureBagging.Parameterizer.rnd Random generator.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.meta with parameters of type RandomFactory

Constructor and Description
FeatureBagging(int k, int num, boolean breadth, RandomFactory rnd) Constructor.
HiCS(int m, double alpha, OutlierAlgorithm outlierAlgorithm, GoodnessOfFitTest statTest, int cutoff, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.database.ids

Methods in de.lmu.ifi.dbs.elki.database.ids with parameters of type RandomFactory

Modifier and Type	Method and Description
static ModifiableDBIDs	DBIDUtil.randomSample(DBIDs source, int k, RandomFactory rnd) Produce a random sample of the given DBIDs.
static void	DBIDUtil.randomShuffle(ArrayModifiableDBIDs ids, RandomFactory rnd) Produce a random shuffling of the given DBID array.
static ArrayDBIDs[]	DBIDUtil.randomSplit(DBIDs ids, int p, RandomFactory rnd) Randomly split IDs into p partitions of almost-equal size.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.datasource

Fields in de.lmu.ifi.dbs.elki.datasource declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	RandomDoubleVectorDatabaseConnection.rnd Random generator
(package private) RandomFactory	RandomDoubleVectorDatabaseConnection.Parameterizer.rnd Random generator.

Constructors in de.lmu.ifi.dbs.elki.datasource with parameters of type RandomFactory

Constructor and Description
RandomDoubleVectorDatabaseConnection(int dim, int size, RandomFactory rnd, List<ObjectFilter> filters) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.datasource.filter

Fields in de.lmu.ifi.dbs.elki.datasource.filter declared as RandomFactory

Modifier and Type	Field and Description
(package private) RandomFactory	ShuffleObjectsFilter.rnd Random generator.
(package private) RandomFactory	ShuffleObjectsFilter.Parameterizer.rnd
(package private) RandomFactory	HistogramJitterFilter.Parameterizer.rnd Random generator seed.
protected RandomFactory	RandomSamplingStreamFilter.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.datasource.filter with parameters of type RandomFactory

Constructor and Description
HistogramJitterFilter(double jitter, RandomFactory rnd) Constructor.
RandomSamplingStreamFilter(double prob, RandomFactory rnd) Constructor.
ShuffleObjectsFilter(RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.datasource.filter.transform

Fields in de.lmu.ifi.dbs.elki.datasource.filter.transform declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	NumberVectorRandomFeatureSelectionFilter.rnd Holds a random generator.
protected RandomFactory	NumberVectorRandomFeatureSelectionFilter.Parameterizer.rnd Random generator.

Constructors in de.lmu.ifi.dbs.elki.datasource.filter.transform with parameters of type RandomFactory

Constructor and Description
NumberVectorRandomFeatureSelectionFilter(int dim, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies

Fields in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	AbstractHashFunctionFamily.random Random generator to use.
(package private) RandomFactory	AbstractHashFunctionFamily.Parameterizer.random Random generator to use.

Constructors in de.lmu.ifi.dbs.elki.index.lsh.hashfamilies with parameters of type RandomFactory

Constructor and Description
AbstractHashFunctionFamily(RandomFactory random, RandomProjectionFamily proj, double width, int k) Constructor.
EuclideanHashFunctionFamily(RandomFactory random, double width, int k) Constructor.
ManhattanHashFunctionFamily(RandomFactory random, double width, int k) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.knn declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	RandomSampleKNNPreprocessor.rnd Random generator
private RandomFactory	RandomSampleKNNPreprocessor.Factory.rnd Random generator
private RandomFactory	RandomSampleKNNPreprocessor.Factory.Parameterizer.rnd Random generator
private RandomFactory	PartitionApproximationMaterializeKNNPreprocessor.rnd Random generator
private RandomFactory	PartitionApproximationMaterializeKNNPreprocessor.Factory.rnd Random generator
private RandomFactory	PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.index.preprocessed.knn with parameters of type RandomFactory

Constructor and Description
PartitionApproximationMaterializeKNNPreprocessor.Factory(int k, DistanceFunction<? super O,D> distanceFunction, int partitions, RandomFactory rnd) Constructor.
PartitionApproximationMaterializeKNNPreprocessor(Relation<O> relation, DistanceFunction<? super O,D> distanceFunction, int k, int partitions, RandomFactory rnd) Constructor
RandomSampleKNNPreprocessor.Factory(int k, DistanceFunction<? super O,D> distanceFunction, double share, RandomFactory rnd) Constructor.
RandomSampleKNNPreprocessor(Relation<O> relation, DistanceFunction<? super O,D> distanceFunction, int k, double share, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.index.projected

Fields in de.lmu.ifi.dbs.elki.index.projected declared as RandomFactory

Modifier and Type	Field and Description
(package private) RandomFactory	PINN.Parameterizer.random Random generator.

Constructors in de.lmu.ifi.dbs.elki.index.projected with parameters of type RandomFactory

Constructor and Description
PINN(IndexFactory<O,?> inner, int t, double s, double h, RandomFactory random) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split declared as RandomFactory

Modifier and Type	Field and Description
(package private) RandomFactory	RandomSplit.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split with parameters of type RandomFactory

Constructor and Description
RandomSplit(RandomFactory rnd) Creates a new split object.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Fields in de.lmu.ifi.dbs.elki.math.dimensionsimilarity declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	HiCSDimensionSimilarity.rnd Random generator
private RandomFactory	HiCSDimensionSimilarity.Parameterizer.rnd Random generator.

Constructors in de.lmu.ifi.dbs.elki.math.dimensionsimilarity with parameters of type RandomFactory

Constructor and Description
HiCSDimensionSimilarity(GoodnessOfFitTest statTest, int m, double alpha, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as RandomFactory

Modifier and Type	Field and Description
(package private) RandomFactory	RANSACCovarianceMatrixBuilder.rnd Random generator
(package private) RandomFactory	RANSACCovarianceMatrixBuilder.Parameterizer.rnd Random generator

Constructors in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with parameters of type RandomFactory

Constructor and Description
RANSACCovarianceMatrixBuilder(int iterations, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	AbstractRandomProjectionFamily.Parameterizer.random Random generator.

Constructors in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections with parameters of type RandomFactory

Constructor and Description
AbstractRandomProjectionFamily(RandomFactory random) Constructor.
AchlioptasRandomProjectionFamily(double sparsity, RandomFactory random) Constructor.
CauchyRandomProjectionFamily(RandomFactory random) Constructor.
GaussianRandomProjectionFamily(RandomFactory random) Constructor.
RandomSubsetProjectionFamily(RandomFactory random) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.math.statistics.distribution

Fields in de.lmu.ifi.dbs.elki.math.statistics.distribution declared as RandomFactory

Modifier and Type	Field and Description
(package private) RandomFactory	AbstractDistribution.Parameterizer.rnd Random source.

Constructors in de.lmu.ifi.dbs.elki.math.statistics.distribution with parameters of type RandomFactory

Constructor and Description
AbstractDistribution(RandomFactory rnd) Constructor.
BetaDistribution(double a, double b, RandomFactory random) Constructor.
CauchyDistribution(double location, double shape, RandomFactory random) Constructor.
ChiDistribution(double dof, RandomFactory random) Constructor.
ChiSquaredDistribution(double dof, RandomFactory random) Constructor.
ExponentialDistribution(double rate, double location, RandomFactory random) Constructor.
ExponentiallyModifiedGaussianDistribution(double mean, double stddev, double lambda, RandomFactory random) Constructor for ExGaussian distribution
GammaDistribution(double k, double theta, RandomFactory random) Constructor for Gamma distribution.
GeneralizedExtremeValueDistribution(double mu, double sigma, double k, RandomFactory random) Constructor.
GeneralizedLogisticAlternateDistribution(double location, double scale, double shape, RandomFactory random) Constructor.
GeneralizedLogisticDistribution(double location, double scale, double shape, RandomFactory random) Constructor.
GumbelDistribution(double mu, double beta, RandomFactory random) Constructor.
HaltonUniformDistribution(double min, double max, RandomFactory rnd) Constructor for a halton pseudo uniform distribution on the interval [min, max[
KappaDistribution(double location, double scale, double shape1, double shape2, RandomFactory random) Constructor.
LaplaceDistribution(double rate, double location, RandomFactory random) Constructor.
LogGammaAlternateDistribution(double k, double theta, double shift, RandomFactory random) Constructor for Gamma distribution.
LogGammaDistribution(double k, double theta, double shift, RandomFactory random) Constructor for Gamma distribution.
LogisticDistribution(double location, double scale, RandomFactory random) Constructor.
LogLogisticDistribution(double scale, double shape, RandomFactory random) Constructor.
LogNormalDistribution(double logmean, double logstddev, double shift, RandomFactory random) Constructor for Log-Normal distribution
NormalDistribution(double mean, double stddev, RandomFactory random) Constructor for Gaussian distribution
PoissonDistribution(int n, double p, RandomFactory random) Constructor.
RayleighDistribution(double mu, double sigma, RandomFactory random) Constructor.
SkewGeneralizedNormalDistribution(double mean, double stddev, double skew, RandomFactory random) Constructor for Gaussian distribution
StudentsTDistribution(int v, RandomFactory random) Constructor.
UniformDistribution(double min, double max, RandomFactory random) Constructor for a uniform distribution on the interval [min, max[
WaldDistribution(double mean, double shape, RandomFactory random) Constructor for wald distribution
WeibullDistribution(double k, double lambda, double theta, RandomFactory random) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.utilities

Fields in de.lmu.ifi.dbs.elki.utilities declared as RandomFactory

Modifier and Type	Field and Description
static RandomFactory	RandomFactory.DEFAULT Global default factory

Methods in de.lmu.ifi.dbs.elki.utilities that return RandomFactory

Modifier and Type	Method and Description
static RandomFactory	RandomFactory.get(Long seed) Factory method: Get a random factory for the given seed.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters that return RandomFactory

Modifier and Type	Method and Description
protected RandomFactory	RandomParameter.parseValue(Object obj)

Constructors in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters with parameters of type RandomFactory

Constructor and Description
RandomParameter(OptionID optionID, RandomFactory defaultValue) Constructor with default value.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.visualization

Fields in de.lmu.ifi.dbs.elki.visualization declared as RandomFactory

Modifier and Type	Field and Description
private RandomFactory	VisualizerParameterizer.rnd Random seed for sampling.