Uses of Interface
de.lmu.ifi.dbs.elki.utilities.referencepoints.ReferencePointsHeuristic

Packages that use ReferencePointsHeuristic

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.utilities.referencepoints	Package containing strategies to obtain reference points Shared code for various algorithms that use reference points.

Uses of ReferencePointsHeuristic in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.distance declared as ReferencePointsHeuristic

Modifier and Type	Field and Description
private ReferencePointsHeuristic	ReferenceBasedOutlierDetection.refp Stores the reference point strategy.
private ReferencePointsHeuristic	ReferenceBasedOutlierDetection.Parameterizer.refp Stores the reference point strategy

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.distance with parameters of type ReferencePointsHeuristic

Constructor and Description
ReferenceBasedOutlierDetection(int k, NumberVectorDistanceFunction<? super NumberVector> distanceFunction, ReferencePointsHeuristic refp) Constructor with parameters.

Uses of ReferencePointsHeuristic in de.lmu.ifi.dbs.elki.utilities.referencepoints

Classes in de.lmu.ifi.dbs.elki.utilities.referencepoints that implement ReferencePointsHeuristic

Modifier and Type	Class and Description
class	AxisBasedReferencePoints Strategy to pick reference points by placing them on the axis ends.
class	FullDatabaseReferencePoints Strategy to use the complete database as reference points.
class	GridBasedReferencePoints Grid-based strategy to pick reference points.
class	RandomGeneratedReferencePoints Reference points generated randomly within the used data space.
class	RandomSampleReferencePoints Random-Sampling strategy for picking reference points.
class	StarBasedReferencePoints Star-based strategy to pick reference points.