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

Packages that use EuclideanDistanceFunction

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as EuclideanDistanceFunction

private EuclideanDistanceFunction<V>

ProjectedClustering.distanceFunction The euclidean distance function.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return EuclideanDistanceFunction

protected EuclideanDistanceFunction<V>

ProjectedClustering.getDistanceFunction() Returns the distance function.