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(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<?,?>> PCAResult	PCARunner.processQueryResult(Collection<DistanceResultPair<D>> results, Relation<? extends V> database) Run PCA on a QueryResult Collection