Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.varianceanalysis.FilteredEigenPairs

Packages that use FilteredEigenPairs
de.lmu.ifi.dbs.elki.varianceanalysis Classes for analysis of variance by different methods. 
 

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

Methods in de.lmu.ifi.dbs.elki.varianceanalysis that return FilteredEigenPairs
 FilteredEigenPairs CompositeEigenPairFilter.filter(SortedEigenPairs eigenPairs)
          Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
 FilteredEigenPairs PercentageEigenPairFilter.filter(SortedEigenPairs eigenPairs)
           
 FilteredEigenPairs EigenPairFilter.filter(SortedEigenPairs eigenPairs)
          Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
 FilteredEigenPairs NormalizingEigenPairFilter.filter(SortedEigenPairs eigenPairs)
           
 FilteredEigenPairs LimitEigenPairFilter.filter(SortedEigenPairs eigenPairs)
           
 FilteredEigenPairs FirstNEigenPairFilter.filter(SortedEigenPairs eigenPairs)
           
 


Release 0.1 (2008-07-10_1838)