Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Interface
de.lmu.ifi.dbs.elki.distance.distancefunction.PreprocessorBasedDistanceFunction

Packages that use PreprocessorBasedDistanceFunction
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. 
 

Uses of PreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
 

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as PreprocessorBasedDistanceFunction
private  PreprocessorBasedDistanceFunction<V,?,?> COPAC.partitionDistanceFunction
          Holds the instance of the preprocessed distance function COPAC.PARTITION_DISTANCE_PARAM.
 

Uses of PreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction
 

Subinterfaces of PreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction
 interface LocalPCAPreprocessorBasedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>,D extends Distance<D>>
          Interface for local PCA based preprocessors.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement PreprocessorBasedDistanceFunction
 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 AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>
          Abstract super class for distance functions needing a preprocessor.
 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.
 

Uses of PreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation that implement PreprocessorBasedDistanceFunction
 class AbstractCorrelationDistanceFunction<V extends FeatureVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>>
          Abstract super class for correlation based distance functions.
 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 PreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement PreprocessorBasedDistanceFunction
 class AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
          Abstract super class for all preference vector based correlation distance functions.
 class DiSHDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
          Distance function used in the DiSH algorithm.
 class HiSCDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
          Distance function used in the HiSC algorithm.
 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.
 


Release 0.3 (2010-03-31_1612)