| 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<V> |
ORCLUS.pca
The PCA utility object.
|
protected PCARunner<V> |
ORCLUS.Parameterizer.pca |
| Constructor and Description |
|---|
ORCLUS(int k,
int k_i,
int l,
double alpha,
RandomFactory rnd,
PCARunner<V> pca)
Java constructor.
|
| Modifier and Type | Field and Description |
|---|---|
private PCARunner<V> |
COP.pca
Holds the PCA runner.
|
(package private) PCARunner<V> |
COP.Parameterizer.pca
Holds the object performing the dependency derivation.
|
| Constructor and Description |
|---|
COP(DistanceFunction<? super V,D> distanceFunction,
int k,
PCARunner<V> pca,
double expect,
COP.DistanceDist dist)
Constructor.
|
| Modifier and Type | Class and Description |
|---|---|
class |
PCAFilteredAutotuningRunner<V extends NumberVector<?>>
Performs a self-tuning local PCA based on the covariance matrices of given
objects.
|
class |
PCAFilteredRunner<V extends NumberVector<?>>
PCA runner that will do dimensionality reduction.
|
| Modifier and Type | Method and Description |
|---|---|
protected PCARunner<V> |
PCARunner.Parameterizer.makeInstance() |