moa.clusterers.outliers.utils.mtree

Class PromotionFunctions.RandomPromotion<DATA>

java.lang.Object

moa.clusterers.outliers.utils.mtree.PromotionFunctions.RandomPromotion<DATA>

Type Parameters:

DATA - The type of the data objects.

All Implemented Interfaces:

PromotionFunction<DATA>

Enclosing class:

PromotionFunctions

public static class PromotionFunctions.RandomPromotion<DATA>
extends Object
implements PromotionFunction<DATA>

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

Constructor Summary

Constructors

Constructor and Description
PromotionFunctions.RandomPromotion()

Method Summary

Methods

Modifier and Type	Method and Description
Pair<DATA>	process(Set<DATA> dataSet, DistanceFunction<? super DATA> 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 Detail

PromotionFunctions.RandomPromotion

public PromotionFunctions.RandomPromotion()

Method Detail

process

public Pair<DATA> process(Set<DATA> dataSet,
                 DistanceFunction<? super DATA> distanceFunction)

Description copied from interface: PromotionFunction

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 PromotionFunction<DATA>

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.