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

Packages that use AbstractLocallyWeightedDistanceFunction

de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.

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 The distance function.

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

protected ClassParameter<AbstractLocallyWeightedDistanceFunction>

ProjectedDBSCAN.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<O extends RealVector<O,?>,P extends Preprocessor<O>> Provides a kernel based locally weighted distance function.
class	LocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> Provides a locally weighted distance function.