Package org.hipparchus.clustering

Class Clusterer<T extends Clusterable>

java.lang.Object

org.hipparchus.clustering.Clusterer<T>

Type Parameters:

T - the type of points that can be clustered

Direct Known Subclasses:

DBSCANClusterer, FuzzyKMeansClusterer, KMeansPlusPlusClusterer, MultiKMeansPlusPlusClusterer

public abstract class Clusterer<T extends Clusterable>
extends Object

Base class for clustering algorithms.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Clusterer(DistanceMeasure measure)	Build a new clusterer with the given DistanceMeasure.

Method Summary

Modifier and Type	Method	Description
abstract List<? extends Cluster<T>>	cluster(Collection<T> points)	Perform a cluster analysis on the given set of Clusterable instances.
protected double	distance(Clusterable p1, Clusterable p2)	Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
DistanceMeasure	getDistanceMeasure()	Returns the DistanceMeasure instance used by this clusterer.

Methods inherited from class java.lang.Object

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

Constructor Details

Clusterer

protected Clusterer(DistanceMeasure measure)

Build a new clusterer with the given DistanceMeasure.

Parameters:

measure - the distance measure to use

Method Details

cluster

public abstract List<? extends Cluster<T>> cluster(Collection<T> points)
                                            throws MathIllegalArgumentException,
MathIllegalStateException

Perform a cluster analysis on the given set of Clusterable instances.

Parameters:

points - the set of Clusterable instances

Returns:

a List of clusters

Throws:

MathIllegalArgumentException - if points are null or the number of data points is not compatible with this clusterer

MathIllegalStateException - if the algorithm has not yet converged after the maximum number of iterations has been exceeded

getDistanceMeasure

public DistanceMeasure getDistanceMeasure()

Returns the DistanceMeasure instance used by this clusterer.

Returns:

the distance measure

distance

protected double distance(Clusterable p1,
 Clusterable p2)

Calculates the distance between two Clusterable instances with the configured DistanceMeasure.

Parameters:

p1 - the first clusterable

p2 - the second clusterable

Returns:

the distance between the two clusterables