Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

Packages that use NonNumericFeaturesException
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation Correlation clustering algorithms 
de.lmu.ifi.dbs.elki.data.model Cluster models classes for various algorithms. 
de.lmu.ifi.dbs.elki.database.connection Database connections are classes implementing data sources. 
de.lmu.ifi.dbs.elki.normalization Data normalization (and reconstitution) of data sets. 
de.lmu.ifi.dbs.elki.result.textwriter Text serialization (CSV, Gnuplot, Console, ...) 
 

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  Clustering<Model> CASH.doRun(Database<ParameterizationFunction> database, FiniteProgress 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.data.model
 

Methods in de.lmu.ifi.dbs.elki.data.model 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.database.connection
 

Methods in de.lmu.ifi.dbs.elki.database.connection that throw NonNumericFeaturesException
protected  List<Pair<O,Associations>> AbstractDatabaseConnection.normalizeAndTransformLabels(List<Pair<O,List<String>>> objectAndLabelsList, Normalization<O> normalization)
          Normalizes and transforms the specified list of objects and their labels into a list of objects and their associations.
 

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> Normalization.normalize(List<O> featureVectors)
          Performs a normalization on a set of feature vectors.
 List<V> AttributeWiseMinMaxNormalization.normalize(List<V> featureVectors)
           
 List<V> AttributeWiseVarianceNormalization.normalize(List<V> featureVectors)
           
 List<Pair<MultiRepresentedObject<O>,Associations>> MultiRepresentedObjectNormalization.normalizeObjects(List<Pair<MultiRepresentedObject<O>,Associations>> objectAndAssociationsList)
          Performs a normalization on a list of database objects and their associations.
 List<Pair<O,Associations>> Normalization.normalizeObjects(List<Pair<O,Associations>> objectAndAssociationsList)
          Performs a normalization on a list of database objects and their associations.
 List<Pair<V,Associations>> AttributeWiseMinMaxNormalization.normalizeObjects(List<Pair<V,Associations>> objectAndAssociationsList)
           
 List<Pair<V,Associations>> AttributeWiseVarianceNormalization.normalizeObjects(List<Pair<V,Associations>> objectAndAssociationsList)
           
 List<MultiRepresentedObject<O>> MultiRepresentedObjectNormalization.restore(List<MultiRepresentedObject<O>> featureVectors)
          Transforms a set of feature vectors to the original attribute ranges.
 List<O> Normalization.restore(List<O> featureVectors)
          Transforms a set of feature vectores to the original attribute ranges.
 List<V> AttributeWiseMinMaxNormalization.restore(List<V> featureVectors)
           
 List<V> AttributeWiseVarianceNormalization.restore(List<V> featureVectors)
           
 MultiRepresentedObject<O> MultiRepresentedObjectNormalization.restore(MultiRepresentedObject<O> featureVector)
          Transforms a feature vector to the original attribute ranges.
 O Normalization.restore(O featureVector)
          Transforms a feature vector to the original attribute ranges.
 V AttributeWiseMinMaxNormalization.restore(V featureVector)
           
 V AttributeWiseVarianceNormalization.restore(V featureVector)
           
 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.
 

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

Methods in de.lmu.ifi.dbs.elki.result.textwriter that throw NonNumericFeaturesException
 O TextWriterStreamNormalizing.normalizationRestore(O v)
          De-Normalize output.
<O> O
TextWriterStream.normalizationRestore(O v)
          Restore a vector undoing any normalization that was applied.
 


Release 0.2.1 (2009-07-13_1605)