Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Package
de.lmu.ifi.dbs.elki.normalization

Packages that use de.lmu.ifi.dbs.elki.normalization
de.lmu.ifi.dbs.elki The base-package of the ELKI framework. 
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. 
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki
Normalization
          Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
NonNumericFeaturesException
          An exception to signal the encounter of non numeric features where numeric features have been expected.
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki.algorithm.result
NonNumericFeaturesException
          An exception to signal the encounter of non numeric features where numeric features have been expected.
Normalization
          Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki.algorithm.result.clustering
NonNumericFeaturesException
          An exception to signal the encounter of non numeric features where numeric features have been expected.
Normalization
          Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering
NonNumericFeaturesException
          An exception to signal the encounter of non numeric features where numeric features have been expected.
Normalization
          Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki.database.connection
NonNumericFeaturesException
          An exception to signal the encounter of non numeric features where numeric features have been expected.
Normalization
          Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.
 

Classes in de.lmu.ifi.dbs.elki.normalization used by de.lmu.ifi.dbs.elki.normalization
AbstractNormalization
          Abstract super class for all normalizations.
NonNumericFeaturesException
          An exception to signal the encounter of non numeric features where numeric features have been expected.
Normalization
          Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.
 


Release 0.1 (2008-07-10_1838)