Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction

Packages that use EuklideanDistanceFunction
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine. 
de.lmu.ifi.dbs.elki.distance.distancefunction Package collects distance functions. 
 

Uses of EuklideanDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
 

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as EuklideanDistanceFunction
private  EuklideanDistanceFunction<V> ProjectedClustering.distanceFunction
          The euklidean distance function.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return EuklideanDistanceFunction
protected  EuklideanDistanceFunction<V> ProjectedClustering.getDistanceFunction()
          Returns the distance function.
 

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

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction declared as EuklideanDistanceFunction
 EuklideanDistanceFunction<V> FractalDimensionBasedDistanceFunction.STANDARD_DOUBLE_DISTANCE_FUNCTION
           
 


Release 0.1 (2008-07-10_1838)