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

Packages that use AbstractLocallyWeightedDistanceFunction

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 AbstractLocallyWeightedDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering

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

private AbstractLocallyWeightedDistanceFunction<V,?>

ProjectedDBSCAN.distanceFunction Holds the instance of the distance function specified by ProjectedDBSCAN.INNER_DISTANCE_FUNCTION_PARAM.

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering with type parameters of type AbstractLocallyWeightedDistanceFunction

protected ObjectParameter<AbstractLocallyWeightedDistanceFunction<V,?>>

ProjectedDBSCAN.OUTER_DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend AbstractLocallyWeightedDistanceFunction .

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

Subclasses of AbstractLocallyWeightedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

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.