Uses of Interface
de.lmu.ifi.dbs.elki.normalization.Normalization

Packages that use Normalization

de.lmu.ifi.dbs.elki	The base-package of the ELKI framework.
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.normalization	Provides classes and methods for normalizations (and reconstitution) of data sets.

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

Fields in de.lmu.ifi.dbs.elki declared as Normalization

private Normalization<O>

KDDTask.normalization A normalization - per default no normalization is used.

Fields in de.lmu.ifi.dbs.elki with type parameters of type Normalization

private ClassParameter<Normalization>

KDDTask.NORMALIZATION_PARAM Optional Parameter to specify a normalization in order to use a database with normalized values.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result with parameters of type Normalization

LinearEquationSystem	CorrelationAnalysisSolution.getNormalizedLinearEquationSystem(Normalization<V> normalization) Returns the linear equation system for printing purposes.
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.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering with parameters of type Normalization

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.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering with parameters of type Normalization

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 Normalization in de.lmu.ifi.dbs.elki.database.connection

Methods in de.lmu.ifi.dbs.elki.database.connection with parameters of type Normalization

Database<MultiRepresentedObject<O>>	MultipleFileBasedDatabaseConnection.getDatabase(Normalization<MultiRepresentedObject<O>> normalization)
Database<O>	DatabaseConnection.getDatabase(Normalization<O> normalization) Returns a Database according to parameter settings.
Database<O>	InputStreamDatabaseConnection.getDatabase(Normalization<O> normalization)
protected List<ObjectAndAssociations<O>>	AbstractDatabaseConnection.normalizeAndTransformLabels(List<ObjectAndLabels<O>> objectAndLabelsList, Normalization<O> normalization) Normalizes and transforms the specified list of objects and their labels into a list of objects and their associtaions.

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

Classes in de.lmu.ifi.dbs.elki.normalization that implement Normalization

class	AbstractNormalization<O extends DatabaseObject> Abstract super class for all normalizations.
class	AttributeWiseRealVectorNormalization<V extends RealVector<V,?>> Class to perform and undo a normalization on real vectors with respect to given minimum and maximum in each dimension.
class	DummyNormalization<O extends DatabaseObject> Dummy normalization that does nothing.
class	MultiRepresentedObjectNormalization<O extends DatabaseObject> Class to perform and undo a normalization on multi-represented objects with respect to given normalizations for each representation.

Fields in de.lmu.ifi.dbs.elki.normalization with type parameters of type Normalization

private List<Normalization<O>>

MultiRepresentedObjectNormalization.normalizations The normalizations for each representation.