Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.index.preprocessed.localpca |
Index using a preprocessed local PCA.
|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
Modifier and Type | Field and Description |
---|---|
private PCAFilteredRunner |
DependencyDerivator.pca
Holds the object performing the pca.
|
protected PCAFilteredRunner |
DependencyDerivator.Parameterizer.pca
Class to compute PCA with
|
Constructor and Description |
---|
DependencyDerivator(NumberVectorDistanceFunction<? super V> distanceFunction,
NumberFormat nf,
PCAFilteredRunner pca,
int sampleSize,
boolean randomsample)
Constructor.
|
Modifier and Type | Field and Description |
---|---|
PCAFilteredRunner |
ERiC.Settings.pca
Class to compute PCA.
|
PCAFilteredRunner |
COPAC.Settings.pca
Class to compute PCA.
|
Modifier and Type | Field and Description |
---|---|
private PCAFilteredRunner |
FourCNeighborPredicate.pca
The Filtered PCA Runner
|
Modifier and Type | Field and Description |
---|---|
protected PCAFilteredRunner |
SimpleCOP.Parameterizer.pca
Holds the object performing the dependency derivation
|
Constructor and Description |
---|
SimpleCOP(DistanceFunction<? super V> distanceFunction,
int k,
PCAFilteredRunner pca)
Constructor.
|
Modifier and Type | Field and Description |
---|---|
protected PCAFilteredRunner |
AbstractFilteredPCAIndex.pca
PCA utility object.
|
protected PCAFilteredRunner |
AbstractFilteredPCAIndex.Factory.pca
PCA utility object.
|
protected PCAFilteredRunner |
AbstractFilteredPCAIndex.Factory.Parameterizer.pca
PCA utility object.
|
Constructor and Description |
---|
AbstractFilteredPCAIndex.Factory(DistanceFunction<NV> pcaDistanceFunction,
PCAFilteredRunner pca)
Constructor.
|
AbstractFilteredPCAIndex(Relation<NV> relation,
PCAFilteredRunner pca)
Constructor.
|
KNNQueryFilteredPCAIndex.Factory(DistanceFunction<V> pcaDistanceFunction,
PCAFilteredRunner pca,
int k)
Constructor.
|
KNNQueryFilteredPCAIndex(Relation<NV> relation,
PCAFilteredRunner pca,
KNNQuery<NV> knnQuery,
int k)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
class |
PCAFilteredAutotuningRunner
Performs a self-tuning local PCA based on the covariance matrices of given
objects.
|
Modifier and Type | Method and Description |
---|---|
protected PCAFilteredRunner |
PCAFilteredRunner.Parameterizer.makeInstance() |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.