Uses of Interface
org.hipparchus.clustering.distance.DistanceMeasure

Packages that use DistanceMeasure

Package	Description
org.hipparchus.clustering	Clustering algorithms.
org.hipparchus.clustering.distance	Common distance measures.
org.hipparchus.clustering.evaluation	Cluster evaluation methods.

Uses of DistanceMeasure in org.hipparchus.clustering

Methods in org.hipparchus.clustering that return DistanceMeasure

Modifier and Type	Method	Description
DistanceMeasure	Clusterer.getDistanceMeasure()	Returns the DistanceMeasure instance used by this clusterer.

Constructors in org.hipparchus.clustering with parameters of type DistanceMeasure

Modifier	Constructor	Description
protected	Clusterer(DistanceMeasure measure)	Build a new clusterer with the given DistanceMeasure.
	DBSCANClusterer(double eps, int minPts, DistanceMeasure measure)	Creates a new instance of a DBSCANClusterer.
	FuzzyKMeansClusterer(int k, double fuzziness, int maxIterations, DistanceMeasure measure)	Creates a new instance of a FuzzyKMeansClusterer.
	FuzzyKMeansClusterer(int k, double fuzziness, int maxIterations, DistanceMeasure measure, double epsilon, RandomGenerator random)	Creates a new instance of a FuzzyKMeansClusterer.
	KMeansPlusPlusClusterer(int k, int maxIterations, DistanceMeasure measure)	Build a clusterer.
	KMeansPlusPlusClusterer(int k, int maxIterations, DistanceMeasure measure, RandomGenerator random)	Build a clusterer.
	KMeansPlusPlusClusterer(int k, int maxIterations, DistanceMeasure measure, RandomGenerator random, KMeansPlusPlusClusterer.EmptyClusterStrategy emptyStrategy)	Build a clusterer.

Uses of DistanceMeasure in org.hipparchus.clustering.distance

Classes in org.hipparchus.clustering.distance that implement DistanceMeasure

Modifier and Type	Class	Description
class	CanberraDistance	Calculates the Canberra distance between two points.
class	ChebyshevDistance	Calculates the L∞ (max of abs) distance between two points.
class	EarthMoversDistance	Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
class	EuclideanDistance	Calculates the L2 (Euclidean) distance between two points.
class	ManhattanDistance	Calculates the L1 (sum of abs) distance between two points.

Uses of DistanceMeasure in org.hipparchus.clustering.evaluation

Constructors in org.hipparchus.clustering.evaluation with parameters of type DistanceMeasure

Modifier	Constructor	Description
	ClusterEvaluator(DistanceMeasure measure)	Creates a new cluster evaluator with the given distance measure.
	SumOfClusterVariances(DistanceMeasure measure)	Simple constructor.