Uses of Class
de.lmu.ifi.dbs.elki.normalization.NonNumericFeaturesException

Packages that use NonNumericFeaturesException

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.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 NonNumericFeaturesException in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that throw NonNumericFeaturesException

private SubspaceClusterMap

CASH.doRun(Database<ParameterizationFunction> database, Progress progress) Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result that throw NonNumericFeaturesException

LinearEquationSystem

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

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering that throw NonNumericFeaturesException

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 NonNumericFeaturesException in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering that throw NonNumericFeaturesException

private void

Biclustering.write(Bicluster<V> bicluster, PrintStream out, Normalization<V> normalization, List<AttributeSettings> settings)

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

Methods in de.lmu.ifi.dbs.elki.database.connection that throw NonNumericFeaturesException

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 NonNumericFeaturesException in de.lmu.ifi.dbs.elki.normalization

Methods in de.lmu.ifi.dbs.elki.normalization that throw NonNumericFeaturesException

List<MultiRepresentedObject<O>>	MultiRepresentedObjectNormalization.normalize(List<MultiRepresentedObject<O>> featureVectors)
List<O>	DummyNormalization.normalize(List<O> featureVectors)
List<O>	Normalization.normalize(List<O> featureVectors) Performs a normalization on a set of feature vectors.
List<V>	AttributeWiseRealVectorNormalization.normalize(List<V> featureVectors)
List<ObjectAndAssociations<MultiRepresentedObject<O>>>	MultiRepresentedObjectNormalization.normalizeObjects(List<ObjectAndAssociations<MultiRepresentedObject<O>>> objectAndAssociationsList) Performs a normalization on a list of database objects and their associations.
List<ObjectAndAssociations<O>>	DummyNormalization.normalizeObjects(List<ObjectAndAssociations<O>> objectAndAssociationsList)
List<ObjectAndAssociations<O>>	Normalization.normalizeObjects(List<ObjectAndAssociations<O>> objectAndAssociationsList) Performs a normalization on a list of database objects and their associations.
List<ObjectAndAssociations<V>>	AttributeWiseRealVectorNormalization.normalizeObjects(List<ObjectAndAssociations<V>> objectAndAssociationsList)
List<MultiRepresentedObject<O>>	MultiRepresentedObjectNormalization.restore(List<MultiRepresentedObject<O>> featureVectors) Transforms a set of feature vectores to the original attribute ranges.
List<O>	DummyNormalization.restore(List<O> featureVectors)
List<O>	Normalization.restore(List<O> featureVectors) Transforms a set of feature vectores to the original attribute ranges.
List<V>	AttributeWiseRealVectorNormalization.restore(List<V> featureVectors)
MultiRepresentedObject<O>	MultiRepresentedObjectNormalization.restore(MultiRepresentedObject<O> featureVector) Transforms a feature vector to the original attribute ranges.
O	DummyNormalization.restore(O featureVector)
O	Normalization.restore(O featureVector) Transforms a feature vector to the original attribute ranges.
V	AttributeWiseRealVectorNormalization.restore(V featureVector)
LinearEquationSystem	AttributeWiseRealVectorNormalization.transform(LinearEquationSystem linearEquationSystem)
LinearEquationSystem	MultiRepresentedObjectNormalization.transform(LinearEquationSystem linearEquationSystem)
LinearEquationSystem	DummyNormalization.transform(LinearEquationSystem linearEquationSystem)
LinearEquationSystem	Normalization.transform(LinearEquationSystem linearEquationSystem) Transforms a linear equation system describing linear dependencies derived on the normalized space into a linear equation system describing linear dependencies quantitatively adapted to the original space.