Package kieker.analysis.generic.clustering.mtree

Class RandomPromotionFunction<T>

java.lang.Object

kieker.analysis.generic.clustering.mtree.RandomPromotionFunction<T>

Type Parameters:

T - The type of the data objects.

All Implemented Interfaces:

IPromotionFunction<T>

public class RandomPromotionFunction<T>
extends Object
implements IPromotionFunction<T>

A promotion function object that randomly chooses ("promotes") two data objects.

Since:

2.0.0

Author:

Eduardo R. D'Avila

Constructor Summary

Constructors

Constructor	Description
RandomPromotionFunction()

Method Summary

Modifier and Type	Method	Description
Pair<T>	process(Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Chooses (promotes) a pair of objects according to some criteria that is suitable for the application using the M-Tree.

Methods inherited from class java.lang.Object

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

Constructor Details

RandomPromotionFunction

public RandomPromotionFunction()

Method Details

process

public Pair<T> process(Set<T> dataSet,
 IDistanceFunction<? super T> distanceFunction)

Description copied from interface: IPromotionFunction

Chooses (promotes) a pair of objects according to some criteria that is suitable for the application using the M-Tree.

Specified by:

process in interface IPromotionFunction<T>

Parameters:

dataSet - The set of objects to choose a pair from.

distanceFunction - A function that can be used for choosing the promoted objects.

Returns:

A pair of chosen objects.