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

Packages that use PCAResult

Package	Description
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

Modifier and Type	Class and Description
class	PCAFilteredResult Result class for a filtered PCA.

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return PCAResult

Modifier and Type	Method and Description
PCAResult	PCARunner.processCovarMatrix(double[][] covarMatrix) Process an existing covariance Matrix.
PCAResult	PCARunner.processEVD(EigenvalueDecomposition evd) Process an existing eigenvalue decomposition.
PCAResult	AutotuningPCA.processIds(DBIDs ids, Relation<? extends NumberVector> database)
PCAResult	PCARunner.processIds(DBIDs ids, Relation<? extends NumberVector> database) Run PCA on a collection of database IDs.
PCAResult	AutotuningPCA.processQueryResult(DoubleDBIDList results, Relation<? extends NumberVector> database)
PCAResult	PCARunner.processQueryResult(DoubleDBIDList results, Relation<? extends NumberVector> database) Run PCA on a QueryResult Collection.