Class AutomaticClusterer

java.lang.Object

org.ojalgo.data.cluster.FeatureBasedClusterer

org.ojalgo.data.cluster.AutomaticClusterer

All Implemented Interfaces:

ClusteringAlgorithm<Point>

final class AutomaticClusterer
extends FeatureBasedClusterer

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor	Description
AutomaticClusterer(DistanceMeasure measure)

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 GeneralisedKMeans<Point> myClusterer

Constructor Details

AutomaticClusterer

AutomaticClusterer(DistanceMeasure measure)

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.