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

Packages that use PCAFilteredResult

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN Generalized DBSCAN is an abstraction of the original DBSCAN idea, that allows the use of arbitrary "neighborhood" and "core point" predicates.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type PCAFilteredResult

Modifier and Type	Method and Description
int	HiCO.correlationDistance(PCAFilteredResult pca1, PCAFilteredResult pca2, int dimensionality) Computes the correlation distance between the two subspaces defined by the specified PCAs.

Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan with parameters of type PCAFilteredResult

Modifier and Type	Method and Description
protected boolean	ERiCNeighborPredicate.Instance.approximatelyLinearDependent(PCAFilteredResult pca1, PCAFilteredResult pca2) Returns true, if the strong eigenvectors of the two specified PCAs span up the same space.
boolean	ERiCNeighborPredicate.Instance.strongNeighbors(NumberVector v1, NumberVector v2, PCAFilteredResult pca1, PCAFilteredResult pca2) Computes the distance between two given DatabaseObjects according to this distance function.
boolean	ERiCNeighborPredicate.Instance.weakNeighbors(double[] v1, double[] v2, PCAFilteredResult pca1, PCAFilteredResult pca2) Computes the distance between two given DatabaseObjects according to this distance function.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan with type arguments of type PCAFilteredResult

Constructor and Description
Instance(DBIDs ids, DataStore<PCAFilteredResult> storage, Relation<? extends NumberVector> relation) Constructor.

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

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

Modifier and Type	Field and Description
private PCAFilteredResult	CorrelationModel.pcaresult The computed PCA result of this cluster.

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

Modifier and Type	Method and Description
PCAFilteredResult	CorrelationModel.getPCAResult() Get assigned PCA result

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

Modifier and Type	Method and Description
void	CorrelationModel.setPCAResult(PCAFilteredResult pcaresult) Assign new PCA result

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

Constructor and Description
CorrelationModel(PCAFilteredResult pcaresult, double[] centroid) Constructor

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

Modifier and Type	Method and Description
PCAFilteredResult	AbstractFilteredPCAIndex.getLocalProjection(DBIDRef objid)
PCAFilteredResult	FilteredLocalPCAIndex.getLocalProjection(DBIDRef objid) Get the precomputed local PCA for a particular object ID.