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

Packages that use LocallyWeightedDistanceFunction

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

Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.

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

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

private LocallyWeightedDistanceFunction<V,?>

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

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

protected ClassParameter<LocallyWeightedDistanceFunction<V,?>>

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