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(Matrix covarMatrix) Process an existing covariance Matrix.
PCAResult	PCARunner.processDatabase(Relation<? extends V> database) Run PCA on the complete database.
PCAResult	PCARunner.processEVD(EigenvalueDecomposition evd) Process an existing eigenvalue decomposition.
PCAResult	PCARunner.processIds(DBIDs ids, Relation<? extends V> database) Run PCA on a collection of database IDs.
<D extends NumberDistance<D,?>> PCAResult	PCARunner.processQueryResult(DistanceDBIDResult<D> results, Relation<? extends V> database) Run PCA on a QueryResult Collection.