Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance

Packages that use LocallyWeightedDistanceFunction.Instance

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.

Uses of LocallyWeightedDistanceFunction.Instance in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type LocallyWeightedDistanceFunction.Instance

Modifier and Type	Method and Description
protected void	AbstractProjectedDBSCAN.expandCluster(LocallyWeightedDistanceFunction.Instance<V> distFunc, RangeQuery<V,DoubleDistance> rangeQuery, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) ExpandCluster function of DBSCAN.

Uses of LocallyWeightedDistanceFunction.Instance in de.lmu.ifi.dbs.elki.distance.distancefunction

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction that return LocallyWeightedDistanceFunction.Instance

Modifier and Type	Method and Description
<T extends V> LocallyWeightedDistanceFunction.Instance<T>	LocallyWeightedDistanceFunction.instantiate(Relation<T> database)