Class GreedyClusterer

java.lang.Object

org.ojalgo.data.cluster.FeatureBasedClusterer

org.ojalgo.data.cluster.GreedyClusterer

All Implemented Interfaces:

ClusteringAlgorithm<Point>

final class GreedyClusterer
extends FeatureBasedClusterer

Field Summary

Fields

Modifier and Type	Field	Description
private final GreedyClustering<Point>	myClusterer

Constructor Summary

Constructors

Constructor	Description
GreedyClusterer(DistanceMeasure measure, double threshold)

Method Summary

Modifier and Type	Method	Description
List<Set<Point>>	cluster(Collection<Point> input)	Partitions the given items into clusters.

Methods inherited from class FeatureBasedClusterer

centroid, cluster, distance, distance, getThreshold, initialiser, isSquared, newAutomatic, newAutomatic, newGreedy, newGreedy, newKMeans, newKMeans, newSpectral, newSpectral, setup

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

myClusterer

private final GreedyClustering<Point> myClusterer

Constructor Details

GreedyClusterer

GreedyClusterer(DistanceMeasure measure,
 double threshold)

Method Details

cluster

public List<Set<Point>> cluster(Collection<Point> input)

Description copied from interface: ClusteringAlgorithm

Partitions the given items into clusters.

Parameters:

input - The items to cluster; must not be null. May be empty.

Returns:

A list of clusters; each element of the list is a Set<T> representing one cluster and containing its members. Sets are non-empty and pairwise disjoint; ordering is unspecified.