| 
  | 
|||||||||||||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||||||||||||||
| Packages that use LocalPCAPreprocessor | |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | Correlation clustering algorithms | 
| de.lmu.ifi.dbs.elki.distance.distancefunction | Distance functions for use within ELKI. | 
| 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.preprocessing | Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. | 
| Uses of LocalPCAPreprocessor in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | 
|---|
| Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as LocalPCAPreprocessor | |
|---|---|
private  LocalPCAPreprocessor<V> | 
COPAC.preprocessor
Holds the instance of preprocessor specified by COPAC.PREPROCESSOR_PARAM
 . | 
| Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type parameters of type LocalPCAPreprocessor | |
|---|---|
private  ClassParameter<LocalPCAPreprocessor<V>> | 
COPAC.PREPROCESSOR_PARAM
Parameter to specify the local PCA preprocessor to derive partition criterion, must extend LocalPCAPreprocessor. | 
| Uses of LocalPCAPreprocessor in de.lmu.ifi.dbs.elki.distance.distancefunction | 
|---|
| Classes in de.lmu.ifi.dbs.elki.distance.distancefunction with type parameters of type LocalPCAPreprocessor | |
|---|---|
 class | 
AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>>
Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.  | 
 class | 
KernelBasedLocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a kernel based locally weighted distance function.  | 
 class | 
LocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a locally weighted distance function.  | 
 interface | 
LocalPCAPreprocessorBasedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>,D extends Distance<D>>
Interface for local PCA based preprocessors.  | 
| Uses of LocalPCAPreprocessor in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | 
|---|
| Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation with type parameters of type LocalPCAPreprocessor | |
|---|---|
 class | 
ERiCDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a distance function for building the hierarchy in the ERiC algorithm.  | 
 class | 
PCABasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides the correlation distance for real valued vectors.  | 
| Uses of LocalPCAPreprocessor in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | 
|---|
| Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with type parameters of type LocalPCAPreprocessor | |
|---|---|
 class | 
SubspaceDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a distance function to determine a kind of correlation distance between two points, which is a pair consisting of the distance between the two subspaces spanned by the strong eigenvectors of the two points and the affine distance between the two subspaces.  | 
| Uses of LocalPCAPreprocessor in de.lmu.ifi.dbs.elki.preprocessing | 
|---|
| Subclasses of LocalPCAPreprocessor in de.lmu.ifi.dbs.elki.preprocessing | |
|---|---|
 class | 
KnnQueryBasedLocalPCAPreprocessor<V extends NumberVector<V,?>>
Provides the local neighborhood to be considered in the PCA as the k nearest neighbors of an object.  | 
 class | 
RangeQueryBasedLocalPCAPreprocessor<V extends NumberVector<V,?>>
Provides the local neighborhood to be considered in the PCA as the neighbors within an epsilon range query of an object.  | 
  | 
  | 
|||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||||