| Package | Description | 
|---|---|
| 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. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
LocallyWeightedDistanceFunction<V extends NumberVector<?>>
Provides a locally weighted distance function. 
 | 
class  | 
SharedNearestNeighborJaccardDistanceFunction<O>
SharedNearestNeighborJaccardDistanceFunction computes the Jaccard
 coefficient, which is a proper distance metric. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ERiCDistanceFunction
Provides a distance function for building the hierarchy in the ERiC
 algorithm. 
 | 
class  | 
PCABasedCorrelationDistanceFunction
Provides the correlation distance for real valued vectors. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<?>,P extends PreferenceVectorIndex<V>>
Abstract super class for all preference vector based correlation distance
 functions. 
 | 
class  | 
DiSHDistanceFunction
Distance function used in the DiSH algorithm. 
 | 
class  | 
HiSCDistanceFunction<V extends NumberVector<?>>
Distance function used in the HiSC algorithm. 
 | 
class  | 
LocalSubspaceDistanceFunction
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. 
 |