Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
Modifier and Type | Field and Description |
---|---|
private PCARunner |
ORCLUS.pca
The PCA utility object.
|
protected PCARunner |
ORCLUS.Parameterizer.pca |
Constructor and Description |
---|
ORCLUS(int k,
int k_i,
int l,
double alpha,
RandomFactory rnd,
PCARunner pca)
Java constructor.
|
Modifier and Type | Field and Description |
---|---|
private PCARunner |
COP.pca
Holds the PCA runner.
|
(package private) PCARunner |
COP.Parameterizer.pca
Holds the object performing the dependency derivation.
|
Constructor and Description |
---|
COP(DistanceFunction<? super V> distanceFunction,
int k,
PCARunner pca,
double expect,
COP.DistanceDist dist,
boolean models)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
class |
PCAFilteredAutotuningRunner
Performs a self-tuning local PCA based on the covariance matrices of given
objects.
|
class |
PCAFilteredRunner
PCA runner that will do dimensionality reduction.
|
Modifier and Type | Method and Description |
---|---|
protected PCARunner |
PCARunner.Parameterizer.makeInstance() |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.