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

Packages that use RandomFactory

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
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.kmeans.initialization	Initialization strategies for k-means.
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.clustering.uncertain	Clustering algorithms for uncertain data.
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.algorithm.outlier.subspace	Subspace outlier detection methods Methods that detect outliers in subspaces (projections) of the data set.
de.lmu.ifi.dbs.elki.algorithm.projection	Data projections (see also preprocessing filters for basic projections).
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms.
de.lmu.ifi.dbs.elki.algorithm.timeseries	Algorithms for change point detection in time series.
de.lmu.ifi.dbs.elki.application.experiments	Packaged experiments to make them easy to reproduce.
de.lmu.ifi.dbs.elki.data.projection.random	Random projection families
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.selection	Filters for selecting and sorting data to process.
de.lmu.ifi.dbs.elki.datasource.filter.transform	Data space transformations
de.lmu.ifi.dbs.elki.datasource.filter.typeconversions	Filters to perform data type conversions.
de.lmu.ifi.dbs.elki.evaluation.classification.holdout	Holdout and cross-validation strategies for evaluating classifiers.
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies	Hash function families for LSH
de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics	Preprocessed index used by the FastOPTICS algorithm.
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.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing
de.lmu.ifi.dbs.elki.math.statistics.dependence	Statistical measures of dependence, such as correlation
de.lmu.ifi.dbs.elki.math.statistics.distribution	Standard distributions, with random generation functionalities
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters	Classes for various typed parameters See the de.lmu.ifi.dbs.elki.utilities.optionhandling package for documentation!
de.lmu.ifi.dbs.elki.utilities.random	Random number generation.
de.lmu.ifi.dbs.elki.utilities.referencepoints	Package containing strategies to obtain reference points Shared code for various algorithms that use reference points
de.lmu.ifi.dbs.elki.visualization	Visualization package of ELKI
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain	Visualizers for uncertain data.

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

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

Modifier and Type	Field and Description
private RandomFactory	KNNDistancesSampler.rnd Random number seeding.
private RandomFactory	KNNDistancesSampler.Parameterizer.rnd Random number seeding.

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

Constructor and Description
KNNDistancesSampler(DistanceFunction<? super O> distanceFunction, int k, double sample, RandomFactory rnd) Constructor.

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> distanceFunction, int k, DatabaseConnection queries, double sampling, RandomFactory random) Constructor.
RangeQueryBenchmarkAlgorithm(DistanceFunction<? super O> distanceFunction, DatabaseConnection queries, double sampling, RandomFactory random) Constructor.
ValidateApproximativeKNNIndex(DistanceFunction<? super O> distanceFunction, int k, DatabaseConnection queries, double sampling, boolean forcelinear, RandomFactory random, java.util.regex.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	LMCLUS.rnd Random factory
private RandomFactory	LMCLUS.Parameterizer.rnd Random generator
private RandomFactory	ORCLUS.rnd Random generator
protected RandomFactory	ORCLUS.Parameterizer.rnd Random number generation.

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 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	FastCLARA.random Random factory for initialization.
(package private) RandomFactory	FastCLARA.Parameterizer.random Random factory for initialization.
(package private) RandomFactory	CLARA.random Random factory for initialization.
(package private) RandomFactory	CLARA.Parameterizer.random Random factory for initialization.
(package private) RandomFactory	CLARANS.random Random factory for initialization.
(package private) RandomFactory	CLARANS.Parameterizer.random Random factory for initialization.
private RandomFactory	XMeans.Parameterizer.random Random number generator.
(package private) RandomFactory	XMeans.rnd Random factory.

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

Constructor and Description
CLARA(DistanceFunction<? super V> distanceFunction, int k, int maxiter, KMedoidsInitialization<V> initializer, int numsamples, double sampling, boolean keepmed, RandomFactory random) Constructor.
CLARANS(DistanceFunction<? super V> distanceFunction, int k, int numlocal, double maxneighbor, RandomFactory random) Constructor.
FastCLARA(DistanceFunction<? super V> distanceFunction, int k, int maxiter, KMedoidsInitialization<V> initializer, double fasttol, int numsamples, double sampling, boolean keepmed, RandomFactory random) Constructor.
FastCLARANS(DistanceFunction<? super V> distanceFunction, int k, int numlocal, double maxneighbor, RandomFactory random) Constructor.
XMeans(NumberVectorDistanceFunction<? super V> distanceFunction, int k_min, int k_max, int maxiter, KMeans<V,M> innerKMeans, KMeansInitialization initializer, KMeansQualityMeasure<V> informationCriterion, RandomFactory random) Constructor.

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

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

Modifier and Type	Field and Description
private RandomFactory	LABInitialMeans.rnd Random generator
protected RandomFactory	AbstractKMeansInitialization.rnd Random number generator
protected RandomFactory	AbstractKMeansInitialization.Parameterizer.rnd Random generator

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

Constructor and Description
AbstractKMeansInitialization(RandomFactory rnd) Constructor.
FarthestPointsInitialMeans(RandomFactory rnd, boolean dropfirst) Constructor.
FarthestSumPointsInitialMeans(RandomFactory rnd, boolean dropfirst) Constructor.
KMeansPlusPlusInitialMeans(RandomFactory rnd) Constructor.
LABInitialMeans(RandomFactory rnd) Constructor.
OstrovskyInitialMeans(RandomFactory rnd) Constructor.
RandomlyChosenInitialMeans(RandomFactory rnd) Constructor.
RandomNormalGeneratedInitialMeans(RandomFactory rnd) Constructor.
RandomUniformGeneratedInitialMeans(RandomFactory rnd) Constructor.
SampleKMeansInitialization(RandomFactory rnd, KMeans<V,?> 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.
protected RandomFactory	DOC.rnd Randomizer used internally for sampling points.
private RandomFactory	PROCLUS.rnd Random generator
protected RandomFactory	PROCLUS.Parameterizer.rnd Random generator

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, RandomFactory random) Constructor.
FastDOC(double alpha, double beta, double w, 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.clustering.uncertain

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

Modifier and Type	Field and Description
protected RandomFactory	FDBSCANNeighborPredicate.rand The random generator to draw the samples with.
protected RandomFactory	RepresentativeUncertainClustering.random Random factory for sampling.
protected RandomFactory	RepresentativeUncertainClustering.Parameterizer.random Random factory for sampling.
protected RandomFactory	UKMeans.rnd Our Random factory
protected RandomFactory	UKMeans.Parameterizer.rnd Our Random factory
protected RandomFactory	FDBSCAN.Parameterizer.seed Random generator.
protected RandomFactory	FDBSCANNeighborPredicate.Parameterizer.seed Random generator.

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

Constructor and Description
FDBSCAN(double epsilon, int sampleSize, double threshold, RandomFactory seed, int minpts) Constructor that initialized GeneralizedDBSCAN.
FDBSCANNeighborPredicate(double epsilon, int sampleSize, double threshold, RandomFactory seed) Constructor.
Instance(double epsilon, int sampleSize, double threshold, Relation<? extends UncertainObject> relation, RandomFactory rand) Constructor.
RepresentativeUncertainClustering(ClusteringDistanceSimilarityFunction distance, ClusteringAlgorithm<?> metaAlgorithm, ClusteringAlgorithm<?> samplesAlgorithm, int numsamples, RandomFactory random, double alpha, boolean keep) Constructor, quite trivial.
UKMeans(int k, int maxiter, 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<?> 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.algorithm.outlier.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace 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.subspace 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.projection

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

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

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

Constructor and Description
BarnesHutTSNE(AffinityMatrixBuilder<? super O> affinity, int dim, double finalMomentum, double learningRate, int maxIterations, RandomFactory random, boolean keep, double theta) Constructor.
SNE(AffinityMatrixBuilder<? super O> affinity, int dim, double finalMomentum, double learningRate, int iterations, RandomFactory random, boolean keep) Constructor.
SNE(AffinityMatrixBuilder<? super O> affinity, int dim, RandomFactory random) Constructor with default values.
TSNE(AffinityMatrixBuilder<? super O> affinity, int dim, double finalMomentum, double learningRate, int iterations, RandomFactory random, boolean keep) Constructor.
TSNE(AffinityMatrixBuilder<? super O> affinity, int dim, RandomFactory random) Constructor with default values.

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

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

Modifier and Type	Field and Description
private RandomFactory	DistanceQuantileSampler.rand Random generator.
private RandomFactory	DistanceQuantileSampler.Parameterizer.rand Random generator.
private RandomFactory	AveragePrecisionAtK.random Random sampling seed.
protected RandomFactory	HopkinsStatisticClusteringTendency.random Random generator seeding.
protected RandomFactory	HopkinsStatisticClusteringTendency.Parameterizer.random Random source.
protected RandomFactory	EvaluateRetrievalPerformance.random Random sampling seed.
protected RandomFactory	RangeQuerySelectivity.random Random sampling seed.
protected RandomFactory	RangeQuerySelectivity.Parameterizer.random Random sampling seed.
protected RandomFactory	AveragePrecisionAtK.Parameterizer.seed Random sampling seed.
protected RandomFactory	EvaluateRetrievalPerformance.Parameterizer.seed Random sampling seed.

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

Constructor and Description
AveragePrecisionAtK(DistanceFunction<? super O> distanceFunction, int k, double sampling, RandomFactory random, boolean includeSelf) Constructor.
DistanceQuantileSampler(DistanceFunction<? super O> distanceFunction, double quantile, double sampling, boolean nozeros, RandomFactory rand) Constructor.
EvaluateRetrievalPerformance(DistanceFunction<? super O> distanceFunction, double sampling, RandomFactory random, boolean includeSelf, int maxk) Constructor.
HopkinsStatisticClusteringTendency(NumberVectorDistanceFunction<? super NumberVector> distanceFunction, int samplesize, RandomFactory random, int rep, int k, double[] minima, double[] maxima) Constructor.
RangeQuerySelectivity(DistanceFunction<? super V> distanceFunction, double radius, double sampling, RandomFactory random) Constructor.

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

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

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

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

Constructor and Description
OfflineChangePointDetectionAlgorithm(double confidence, int bootstrapSteps, RandomFactory rnd) Constructor

Uses of RandomFactory in de.lmu.ifi.dbs.elki.application.experiments

Fields in de.lmu.ifi.dbs.elki.application.experiments declared as RandomFactory

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

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

Constructor and Description
EvaluateIntrinsicDimensionalityEstimators(int startk, int maxk, int samples, int dim, EvaluateIntrinsicDimensionalityEstimators.Aggregate agg, EvaluateIntrinsicDimensionalityEstimators.OutputFormat format, RandomFactory rnd) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.data.projection.random

Fields in de.lmu.ifi.dbs.elki.data.projection.random declared as RandomFactory

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

Constructors in de.lmu.ifi.dbs.elki.data.projection.random 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.
SimplifiedRandomHyperplaneProjectionFamily(RandomFactory random) 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 DBIDs	DBIDUtil.randomSample(DBIDs ids, double rate, RandomFactory random) Produce a random sample of the given DBIDs.
static ModifiableDBIDs	DBIDUtil.randomSample(DBIDs source, int k, RandomFactory rnd) Produce a random sample of the given DBIDs.
static DBIDVar	DBIDUtil.randomSample(DBIDs ids, RandomFactory random) Draw a single random sample.
static ModifiableDBIDs	DBIDUtil.randomSampleExcept(DBIDs source, DBIDRef except, 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
private RandomFactory	GeneratorXMLDatabaseConnection.clusterRandom Random generator used for initializing cluster generators.
(package private) RandomFactory	GeneratorXMLDatabaseConnection.Parameterizer.clusterRandom Random generator used for initializing cluster generators.
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
GeneratorXMLDatabaseConnection(java.util.List<ObjectFilter> filters, java.io.File specfile, double sizescale, java.util.regex.Pattern reassign, boolean reassignByDistance, RandomFactory clusterRandom) Constructor.
RandomDoubleVectorDatabaseConnection(int dim, int size, RandomFactory rnd, java.util.List<ObjectFilter> filters) Constructor.

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

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

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

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

Constructor and Description
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
(package private) RandomFactory	FastMultidimensionalScalingTransform.random Random generator.
(package private) RandomFactory	FastMultidimensionalScalingTransform.Parameterizer.random Random generator.
protected RandomFactory	NumberVectorRandomFeatureSelectionFilter.rnd Holds a random generator.
protected RandomFactory	NumberVectorRandomFeatureSelectionFilter.Parameterizer.rnd Random generator.
(package private) RandomFactory	HistogramJitterFilter.Parameterizer.rnd Random generator seed.

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

Constructor and Description
FastMultidimensionalScalingTransform(int tdim, PrimitiveDistanceFunction<? super I> dist, NumberVector.Factory<O> factory, RandomFactory random) Constructor.
HistogramJitterFilter(double jitter, RandomFactory rnd) Constructor.
NumberVectorRandomFeatureSelectionFilter(int dim, RandomFactory rnd) Constructor.

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

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

Modifier and Type	Field and Description
protected RandomFactory	UncertainifyFilter.Parameterizer.rand Random generator.

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

Constructor and Description
UncertainifyFilter(Uncertainifier<UO> generator, boolean keep, RandomFactory randf) Constructor.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Fields in de.lmu.ifi.dbs.elki.evaluation.classification.holdout declared as RandomFactory

Modifier and Type	Field and Description
protected RandomFactory	RandomizedHoldout.random The random generator.
protected RandomFactory	RandomizedHoldout.Parameterizer.random The random generator.

Constructors in de.lmu.ifi.dbs.elki.evaluation.classification.holdout with parameters of type RandomFactory

Constructor and Description
DisjointCrossValidation(RandomFactory random, int nfold) Constructor.
RandomizedCrossValidation(RandomFactory random, int nfold) Constructor for n-fold cross-validation.
RandomizedHoldout(RandomFactory random) Sets the parameter seed to the parameterToDescription map.

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	AbstractProjectedHashFunctionFamily.random Random generator to use.
(package private) RandomFactory	AbstractProjectedHashFunctionFamily.Parameterizer.random Random generator to use.
(package private) RandomFactory	CosineHashFunctionFamily.Parameterizer.random Random generator to use.

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

Constructor and Description
AbstractProjectedHashFunctionFamily(RandomFactory random, RandomProjectionFamily proj, double width, int k) Constructor.
CosineHashFunctionFamily(int k, RandomFactory random) 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.fastoptics

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

Modifier and Type	Field and Description
(package private) RandomFactory	RandomProjectedNeighborsAndDensities.rnd Random factory.
(package private) RandomFactory	RandomProjectedNeighborsAndDensities.Parameterizer.rnd Random factory.

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

Constructor and Description
RandomProjectedNeighborsAndDensities(RandomFactory rnd) 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
(package private) RandomFactory	NaiveProjectedKNNPreprocessor.Factory.random Random number generator.
(package private) RandomFactory	NaiveProjectedKNNPreprocessor.Factory.Parameterizer.random Random number generator.
(package private) RandomFactory	SpacefillingMaterializeKNNPreprocessor.Factory.random Random number generator.
(package private) RandomFactory	SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer.random Random number generator.
(package private) RandomFactory	SpacefillingKNNPreprocessor.Factory.random Random number generator.
(package private) RandomFactory	SpacefillingKNNPreprocessor.Factory.Parameterizer.random Random number generator.
private RandomFactory	NNDescent.rnd Random generator
private RandomFactory	NNDescent.Factory.rnd Random generator
private RandomFactory	NNDescent.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
private RandomFactory	RandomSampleKNNPreprocessor.rnd Random generator
private RandomFactory	RandomSampleKNNPreprocessor.Factory.rnd Random generator
private RandomFactory	RandomSampleKNNPreprocessor.Factory.Parameterizer.rnd Random generator

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

Constructor and Description
Factory(double window, int projections, RandomProjectionFamily proj, RandomFactory random) Constructor.
Factory(int k, DistanceFunction<? super O> distanceFunction, double share, RandomFactory rnd) Constructor.
Factory(int k, DistanceFunction<? super O> distanceFunction, int partitions, RandomFactory rnd) Constructor.
Factory(int k, DistanceFunction<? super O> distanceFunction, RandomFactory rnd, double delta, double rho, boolean noInitialNeighbors, int iterations) Constructor.
Factory(int k, DistanceFunction<? super V> distanceFunction, java.util.List<SpatialSorter> curvegen, double window, int variants, RandomFactory random) Constructor.
Factory(java.util.List<SpatialSorter> curvegen, double window, int variants, int odim, RandomProjectionFamily proj, RandomFactory random) Constructor.
NNDescent(Relation<O> relation, DistanceFunction<? super O> distanceFunction, int k, RandomFactory rnd, double delta, double rho, boolean noInitialNeighbors, int iterations) Constructor.
PartitionApproximationMaterializeKNNPreprocessor(Relation<O> relation, DistanceFunction<? super O> distanceFunction, int k, int partitions, RandomFactory rnd) Constructor
RandomSampleKNNPreprocessor(Relation<O> relation, DistanceFunction<? super O> 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(DistributionStrategy distributor, 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.statistics.dependence

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

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

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

Constructor and Description
HiCSDependenceMeasure(GoodnessOfFitTest statTest, int m, double alpha, RandomFactory rnd) 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.
ExpGammaDistribution(double k, double theta, double shift, RandomFactory random) Constructor for Gamma distribution.
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.
GeneralizedParetoDistribution(double mu, double sigma, double xi, 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[
InverseGaussianDistribution(double mean, double shape, RandomFactory random) Constructor for wald distribution
KappaDistribution(double location, double scale, double shape1, double shape2, RandomFactory random) Constructor.
LaplaceDistribution(double rate, double location, RandomFactory random) Constructor.
LogGammaDistribution(double k, double theta, double shift, RandomFactory random) Constructor for Gamma distribution.
LogisticDistribution(double location, double scale, RandomFactory random) Constructor.
LogLogisticDistribution(double shape, double location, double scale, 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 loc, double scale, 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[
WeibullDistribution(double k, double lambda, double theta, RandomFactory random) Constructor.

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(java.lang.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.utilities.random

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

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

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

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

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

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

Modifier and Type	Field and Description
protected RandomFactory	RandomGeneratedReferencePoints.rnd Random generator.
protected RandomFactory	RandomGeneratedReferencePoints.Parameterizer.rnd Random generator.
protected RandomFactory	RandomSampleReferencePoints.rnd Random generator.
protected RandomFactory	RandomSampleReferencePoints.Parameterizer.rnd Random generator.

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

Constructor and Description
RandomGeneratedReferencePoints(int samplesize, double scale, RandomFactory rnd) Constructor.
RandomSampleReferencePoints(int samplesize, RandomFactory rnd) Constructor.

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.

Uses of RandomFactory in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain

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

Modifier and Type	Field and Description
protected RandomFactory	UncertainSamplesVisualization.Instance.random Random factory.