Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult

Packages that use PCAResult
de.lmu.ifi.dbs.elki.math.linearalgebra.pca Principal Component Analysis (PCA) and Eigenvector processing. 
 

Uses of PCAResult in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
 

Subclasses of PCAResult in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
 class PCAFilteredResult
          Result class for a filtered PCA.
 

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return PCAResult
 PCAResult PCARunner.processCovarMatrix(Matrix covarMatrix)
          Process an existing covariance Matrix
 PCAResult PCARunner.processDatabase(Database<V> database)
          Run PCA on the complete database
 PCAResult PCARunner.processEVD(EigenvalueDecomposition evd)
          Process an existing eigenvalue decomposition
 PCAResult PCARunner.processIds(Collection<Integer> ids, Database<V> database)
          Run PCA on a collection of database IDs
 PCAResult PCARunner.processQueryResult(Collection<DistanceResultPair<D>> results, Database<V> database)
          Run PCA on a QueryResult Collection
 


Release 0.2.1 (2009-07-13_1605)