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Packages that use PCAFilteredResult | |
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de.lmu.ifi.dbs.elki.data.model | Cluster models classes for various algorithms. |
de.lmu.ifi.dbs.elki.database | ELKI database layer - loading, storing, indexing and accessing data |
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.math.linearalgebra.pca | Principal Component Analysis (PCA) and Eigenvector processing. |
Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.data.model |
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Fields in de.lmu.ifi.dbs.elki.data.model declared as PCAFilteredResult | |
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private PCAFilteredResult |
CorrelationModel.pcaresult
The computed PCA result of this cluster. |
Methods in de.lmu.ifi.dbs.elki.data.model that return PCAFilteredResult | |
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PCAFilteredResult |
CorrelationModel.getPCAResult()
Get assigned PCA result |
Methods in de.lmu.ifi.dbs.elki.data.model with parameters of type PCAFilteredResult | |
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void |
CorrelationModel.setPCAResult(PCAFilteredResult pcaresult)
Assign new PCA result |
Constructors in de.lmu.ifi.dbs.elki.data.model with parameters of type PCAFilteredResult | |
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CorrelationModel(PCAFilteredResult pcaresult,
V centroid)
Constructor |
Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.database |
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Fields in de.lmu.ifi.dbs.elki.database with type parameters of type PCAFilteredResult | |
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static AssociationID<PCAFilteredResult> |
AssociationID.LOCAL_PCA
The association id to associate a correlation pca to an object. |
Uses of PCAFilteredResult in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
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Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation with parameters of type PCAFilteredResult | |
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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.correlationDistance(PCAFilteredResult pca1,
PCAFilteredResult pca2,
int dimensionality)
Computes the correlation distance between the two subspaces defined by the specified PCAs. |
BitDistance |
ERiCDistanceFunction.distance(V v1,
V 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 |
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Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with parameters of type PCAFilteredResult | |
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SubspaceDistance |
SubspaceDistanceFunction.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.math.linearalgebra.pca |
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Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return PCAFilteredResult | |
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PCAFilteredResult |
PCAFilteredRunner.processCovarMatrix(Matrix covarMatrix)
Process an existing Covariance Matrix |
PCAFilteredResult |
PCAFilteredRunner.processEVD(EigenvalueDecomposition evd)
Process an existing eigenvalue decomposition |
PCAFilteredResult |
PCAFilteredRunner.processIds(Collection<Integer> ids,
Database<V> database)
Run PCA on a collection of database IDs |
PCAFilteredResult |
PCAFilteredRunner.processQueryResult(Collection<DistanceResultPair<D>> results,
Database<V> database)
Run PCA on a QueryResult Collection |
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