Uses of Class
de.lmu.ifi.dbs.elki.utilities.optionhandling.AttributeSettings

Packages that use AttributeSettings

de.lmu.ifi.dbs.elki	The base-package of the ELKI framework.
de.lmu.ifi.dbs.elki.algorithm	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.result	Package to collect result classes for the results of algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering	Package to collect result classes for the results of biclustering algorithms.
de.lmu.ifi.dbs.elki.database.connection	Provides database connection classes.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Package collects similarity functions.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	Package collects variants of the M-Tree.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	Package collects classes for the RdKNNTree
de.lmu.ifi.dbs.elki.normalization	Provides classes and methods for normalizations (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.parser	Package collects parser for different file formats and data types.
de.lmu.ifi.dbs.elki.preprocessing	Package collects preprocessors used for data preparation in a first step of various algorithms or distance measures.
de.lmu.ifi.dbs.elki.utilities.optionhandling	Package collects classes required for handling and description of options for any parameterizable class.
de.lmu.ifi.dbs.elki.varianceanalysis	Classes for analysis of variance by different methods.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki

Methods in de.lmu.ifi.dbs.elki that return types with arguments of type AttributeSettings

List<AttributeSettings>

KDDTask.getAttributeSettings() Returns the parameter setting of the attributes.

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

Methods in de.lmu.ifi.dbs.elki.algorithm that return types with arguments of type AttributeSettings

List<AttributeSettings>	DependencyDerivator.getAttributeSettings() Calls DistanceBasedAlgorithm.getAttributeSettings() and adds to the returned attribute settings the attribute settings of the DependencyDerivator.pca.
List<AttributeSettings>	DistanceBasedAlgorithm.getAttributeSettings() Calls AbstractParameterizable.getAttributeSettings() and adds to the returned attribute settings the attribute settings of the DistanceBasedAlgorithm.distanceFunction.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return types with arguments of type AttributeSettings

List<AttributeSettings>	ProjectedDBSCAN.getAttributeSettings()
List<AttributeSettings>	DeLiClu.getAttributeSettings() Calls DistanceBasedAlgorithm.getAttributeSettings() and adds to the returned attribute settings the attribute settings of the DeLiClu.knnJoin.
List<AttributeSettings>	SNNClustering.getAttributeSettings()

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return types with arguments of type AttributeSettings

List<AttributeSettings>	ERiC.getAttributeSettings() Returns the parameter setting of the attributes.
List<AttributeSettings>	COPAA.getAttributeSettings() Returns the parameter setting of the attributes.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type AttributeSettings

List<AttributeSettings>

DiSH.getAttributeSettings()

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.algorithm.result

Method parameters in de.lmu.ifi.dbs.elki.algorithm.result with type arguments of type AttributeSettings

void	AprioriResult.output(File out, Normalization<BitVector> normalization, List<AttributeSettings> settings) Prints the frequent itemsets annotating their reqpective frequency.
void	Result.output(File out, Normalization<O> normalization, List<AttributeSettings> settings) Writes the clustering result to the given file.
void	PartitionResults.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	PointerRepresentation.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	AbstractResult.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	KNNDistanceOrderResult.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	KNNJoinResult.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	CorrelationAnalysisSolution.output(File out, Normalization<V> normalization, List<AttributeSettings> settings)
void	AprioriResult.output(PrintStream outStream, Normalization<BitVector> normalization, List<AttributeSettings> settings)
void	Result.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings) Writes the clustering result to the given stream.
void	PartitionResults.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	PointerRepresentation.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	KNNDistanceOrderResult.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	KNNJoinResult.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	CorrelationAnalysisSolution.output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings) Writes the clustering result to the given stream.
protected void	AbstractResult.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation) Writes a header providing information concerning the underlying database and the specified parameter-settings.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Method parameters in de.lmu.ifi.dbs.elki.algorithm.result.clustering with type arguments of type AttributeSettings

void	PartitionClusteringResults.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	Clusters.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	ClusterOrder.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	ClustersPlusNoise.output(File out, Normalization<O> normalization, List<AttributeSettings> settings)
void	HierarchicalClusters.output(File dir, Normalization<O> normalization, List<AttributeSettings> settings)
void	CASHResult.output(File out, Normalization<ParameterizationFunction> normalization, List<AttributeSettings> settings)
void	ClustersPlusNoisePlusCorrelationAnalysis.output(File out, Normalization<V> normalization, List<AttributeSettings> settings)
void	HierarchicalAxesParallelCorrelationClusters.output(File dir, Normalization<V> normalization, List<AttributeSettings> settings)
void	PartitionClusteringResults.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	Clusters.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	ClusterOrder.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	ClustersPlusNoise.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings)
void	HierarchicalClusters.output(PrintStream outStream, Normalization<O> normalization, List<AttributeSettings> settings) Writes the cluster order to the given stream.
void	CASHResult.output(PrintStream outStream, Normalization<ParameterizationFunction> normalization, List<AttributeSettings> settings) todo Writes the clustering result to the given stream.
void	SubspaceClusterModel.output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings)
void	HierarchicalAxesParallelCorrelationClusters.output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings)
void	EMModel.output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings)
void	CLIQUEModel.output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings)
private void	HierarchicalClusters.write(C cluster, File dir, PrintStream out, Normalization<O> normalization, List<AttributeSettings> settings, List<String> headerInformation, Map<C,Boolean> written) Writes a cluster to the designated print stream.
private void	Clusters.write(int clusterIndex, PrintStream out, Normalization<O> normalization, List<AttributeSettings> settings) Writes a cluster denoted by its cluster number to the designated print stream.
private void	ClustersPlusNoise.write(int clusterIndex, PrintStream out, Normalization<O> normalization, List<AttributeSettings> settings) Writes a cluster denoted by its cluster number to the designated print stream.
private void	ClustersPlusNoisePlusCorrelationAnalysis.write(int clusterIndex, PrintStream out, Normalization<V> normalization, List<AttributeSettings> settings) Writes a cluster denoted by its cluster number to the designated print stream.
private void	CASHResult.write(int clusterDimensionality, Set<Integer> clusterIDs, LinearEquationSystem clusterDependency, PrintStream out, Normalization<ParameterizationFunction> normalization, List<AttributeSettings> settings) Writes a cluster to the designated print stream.
protected void	HierarchicalClusters.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation, C cluster) Writes a header for the specified cluster providing information concerning the underlying database and the specified parameter-settings.
protected void	HierarchicalAxesParallelCorrelationClusters.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation, HierarchicalAxesParallelCorrelationCluster cluster) Writes a header for the specified cluster providing information concerning the underlying database and the specified parameter-settings.
protected void	HierarchicalCASHClusters.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation, HierarchicalCASHCluster cluster) Writes a header for the specified cluster providing information concerning the underlying database and the specified parameter-settings.
protected void	HierarchicalCorrelationClusters.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation, HierarchicalCorrelationCluster<V> cluster) Writes a header for the specified cluster providing information concerning the underlying database and the specified parameter-settings.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering

Method parameters in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering with type arguments of type AttributeSettings

void	Biclustering.output(File out, Normalization<V> normalization, List<AttributeSettings> settings)
void	Biclustering.output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings)
private void	Biclustering.write(Bicluster<V> bicluster, PrintStream out, Normalization<V> normalization, List<AttributeSettings> settings)

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.database.connection

Methods in de.lmu.ifi.dbs.elki.database.connection that return types with arguments of type AttributeSettings

List<AttributeSettings>	AbstractDatabaseConnection.getAttributeSettings() Returns the parameter setting of the attributes.
List<AttributeSettings>	InputStreamDatabaseConnection.getAttributeSettings() Returns the parameter setting of the attributes.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.distance.distancefunction

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction that return types with arguments of type AttributeSettings

List<AttributeSettings>	KernelBasedLocallyWeightedDistanceFunction.getAttributeSettings()
List<AttributeSettings>	AbstractPreprocessorBasedDistanceFunction.getAttributeSettings() Returns the parameter setting of the attributes.
List<AttributeSettings>	AbstractLocallyWeightedDistanceFunction.getAttributeSettings()
List<AttributeSettings>	ERiCDistanceFunction.getAttributeSettings() Returns the parameter setting of the attributes.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.distance.similarityfunction

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction that return types with arguments of type AttributeSettings

List<AttributeSettings>

AbstractPreprocessorBasedSimilarityFunction.getAttributeSettings() Returns the parameter setting of the attributes.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants that return types with arguments of type AttributeSettings

List<AttributeSettings>

AbstractMTree.getAttributeSettings() Returns the parameter setting of the attributes.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn that return types with arguments of type AttributeSettings

List<AttributeSettings>

RdKNNTree.getAttributeSettings() Returns the parameter setting of the attributes.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.normalization

Methods in de.lmu.ifi.dbs.elki.normalization that return types with arguments of type AttributeSettings

List<AttributeSettings>	AttributeWiseRealVectorNormalization.getAttributeSettings()
List<AttributeSettings>	MultiRepresentedObjectNormalization.getAttributeSettings() Returns the setting of the attributes of the algorithm.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.parser

Methods in de.lmu.ifi.dbs.elki.parser that return types with arguments of type AttributeSettings

List<AttributeSettings>

NumberDistanceParser.getAttributeSettings() Returns the parameter setting of the attributes.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.preprocessing

Methods in de.lmu.ifi.dbs.elki.preprocessing that return types with arguments of type AttributeSettings

List<AttributeSettings>	ProjectedDBSCANPreprocessor.getAttributeSettings()
List<AttributeSettings>	FourCPreprocessor.getAttributeSettings() Returns the parameter setting of the attributes.
List<AttributeSettings>	HiCOPreprocessor.getAttributeSettings() Returns the parameter setting of the attributes.
List<AttributeSettings>	FracClusPreprocessor.getAttributeSettings()

Method parameters in de.lmu.ifi.dbs.elki.preprocessing with type arguments of type AttributeSettings

void	PreprocessorHandler.addAttributeSettings(List<AttributeSettings> settingsList) Adds the parameter settings of the preprocessor to the specified list.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.utilities.optionhandling

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling that return types with arguments of type AttributeSettings

List<AttributeSettings>	Parameterizable.getAttributeSettings() Returns the setting of the attributes of the parameterizable.
List<AttributeSettings>	AbstractParameterizable.getAttributeSettings() Returns the settings of all options assigned to the option handler.

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling with parameters of type AttributeSettings

void	OptionHandler.addOptionSettings(AttributeSettings settings) Adds the settings of the options assigned to this option handler to the specified attribute settings.

Uses of AttributeSettings in de.lmu.ifi.dbs.elki.varianceanalysis

Methods in de.lmu.ifi.dbs.elki.varianceanalysis that return types with arguments of type AttributeSettings

List<AttributeSettings>

AbstractPCA.getAttributeSettings()