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Packages that use PCARunner | |
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de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | Correlation clustering algorithms |
de.lmu.ifi.dbs.elki.math.linearalgebra.pca | Principal Component Analysis (PCA) and Eigenvector processing. |
Uses of PCARunner in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as PCARunner | |
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private PCARunner<V> |
ORCLUS.pca
The PCA utility object. |
protected PCARunner<V> |
ORCLUS.Parameterizer.pca
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Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type PCARunner | |
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ORCLUS(int k,
int k_i,
int l,
double alpha,
long seed,
PCARunner<V> pca)
Java constructor. |
Uses of PCARunner in de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
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Subclasses of PCARunner in de.lmu.ifi.dbs.elki.math.linearalgebra.pca | |
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class |
PCAFilteredRunner<V extends NumberVector<? extends V,?>>
PCA runner that will do dimensionality reduction. |
Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return PCARunner | |
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protected PCARunner<V> |
PCARunner.Parameterizer.makeInstance()
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