Uses of Interface
org.apache.commons.math3.ml.clustering.Clusterable

Packages that use Clusterable
org.apache.commons.math3.ml.clustering Clustering algorithms. 
 

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

Classes in org.apache.commons.math3.ml.clustering with type parameters of type Clusterable
 class CentroidCluster<T extends Clusterable>
          A Cluster used by centroid-based clustering algorithms.
 class Cluster<T extends Clusterable>
          Cluster holding a set of Clusterable points.
 class Clusterer<T extends Clusterable>
          Base class for clustering algorithms.
 class DBSCANClusterer<T extends Clusterable>
          DBSCAN (density-based spatial clustering of applications with noise) algorithm.
 class KMeansPlusPlusClusterer<T extends Clusterable>
          Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
 class MultiKMeansPlusPlusClusterer<T extends Clusterable>
          A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
 

Classes in org.apache.commons.math3.ml.clustering that implement Clusterable
 class DoublePoint
          A simple implementation of Clusterable for points with double coordinates.
 

Methods in org.apache.commons.math3.ml.clustering that return Clusterable
 Clusterable CentroidCluster.getCenter()
          Get the point chosen to be the center of this cluster.
 

Methods in org.apache.commons.math3.ml.clustering with parameters of type Clusterable
protected  double Clusterer.distance(Clusterable p1, Clusterable p2)
          Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
 

Constructors in org.apache.commons.math3.ml.clustering with parameters of type Clusterable
CentroidCluster(Clusterable center)
          Build a cluster centered at a specified point.
 



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