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

Packages that use PCAFilteredResult

de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj	Index using a preprocessed local subspaces.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.data.model

Fields in de.lmu.ifi.dbs.elki.data.model declared as PCAFilteredResult

private PCAFilteredResult

CorrelationModel.pcaresult The computed PCA result of this cluster.

Methods in de.lmu.ifi.dbs.elki.data.model that return PCAFilteredResult

PCAFilteredResult

CorrelationModel.getPCAResult() Get assigned PCA result

Methods in de.lmu.ifi.dbs.elki.data.model with parameters of type PCAFilteredResult

void	CorrelationModel.setPCAResult(PCAFilteredResult pcaresult) Assign new PCA result

Constructors in de.lmu.ifi.dbs.elki.data.model with parameters of type PCAFilteredResult

CorrelationModel(PCAFilteredResult pcaresult, V centroid)
Constructor

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation with parameters of type PCAFilteredResult

private boolean	ERiCDistanceFunction.approximatelyLinearDependent(PCAFilteredResult pca1, PCAFilteredResult pca2) Returns true, if the strong eigenvectors of the two specified pcas span up the same space.
int	PCABasedCorrelationDistanceFunction.Instance.correlationDistance(PCAFilteredResult pca1, PCAFilteredResult pca2, int dimensionality) Computes the correlation distance between the two subspaces defined by the specified PCAs.
BitDistance	ERiCDistanceFunction.distance(NumberVector<?,?> v1, NumberVector<?,?> v2, PCAFilteredResult pca1, PCAFilteredResult pca2) Computes the distance between two given DatabaseObjects according to this distance function.

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with parameters of type PCAFilteredResult

SubspaceDistance

SubspaceDistanceFunction.Instance.distance(V o1, V o2, PCAFilteredResult pca1, PCAFilteredResult pca2) Computes the distance between two given DatabaseObjects according to this distance function.

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.localpca that return PCAFilteredResult

PCAFilteredResult	AbstractFilteredPCAIndex.getLocalProjection(DBID objid)
PCAFilteredResult	FilteredLocalPCAIndex.getLocalProjection(DBID objid) Get the precomputed local PCA for a particular object ID.

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj that return PCAFilteredResult

protected PCAFilteredResult

FourCSubspaceIndex.computeProjection(DBID id, List<DistanceResultPair<D>> neighbors, Relation<V> database)

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

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

PCAFilteredResult	PCAFilteredRunner.processCovarMatrix(Matrix covarMatrix) Process an existing Covariance Matrix
PCAFilteredResult	PCAFilteredRunner.processEVD(EigenvalueDecomposition evd) Process an existing eigenvalue decomposition
PCAFilteredResult	PCAFilteredRunner.processIds(DBIDs ids, Relation<? extends V> database) Run PCA on a collection of database IDs
<D extends NumberDistance<?,?>> PCAFilteredResult	PCAFilteredRunner.processQueryResult(Collection<DistanceResultPair<D>> results, Relation<? extends V> database) Run PCA on a QueryResult Collection