Uses of Interface
org.apache.commons.math3.ml.distance.DistanceMeasure

Packages that use DistanceMeasure
org.apache.commons.math3.ml.clustering Clustering algorithms. 
org.apache.commons.math3.ml.distance Common distance measures. 
 

Uses of DistanceMeasure in org.apache.commons.math3.ml.clustering
 

Methods in org.apache.commons.math3.ml.clustering that return DistanceMeasure
 DistanceMeasure Clusterer.getDistanceMeasure()
          Returns the DistanceMeasure instance used by this clusterer.
 

Constructors in org.apache.commons.math3.ml.clustering with parameters of type DistanceMeasure
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.
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.apache.commons.math3.ml.distance
 

Classes in org.apache.commons.math3.ml.distance that implement DistanceMeasure
 class CanberraDistance
          Calculates the Canberra distance between two points.
 class ChebyshevDistance
          Calculates the L (max of abs) distance between two points.
 class EuclideanDistance
          Calculates the L2 (Euclidean) distance between two points.
 class ManhattanDistance
          Calculates the L1 (sum of abs) distance between two points.
 



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