Package kieker.analysis.generic.clustering.mtree

Class ISplitFunction.SplitResult<R>

java.lang.Object

kieker.analysis.generic.clustering.mtree.ISplitFunction.SplitResult<R>

Type Parameters:

R - The type of the data objects.

Enclosing interface:

ISplitFunction<T>

public static class ISplitFunction.SplitResult<R>
extends Object

An object used as the result for the ISplitFunction.process(Set, IDistanceFunction) method.

Constructor Summary

Constructors

Constructor	Description
SplitResult(Pair<R> promoted, Pair<Set<R>> partitions)	The constructor for a ISplitFunction.SplitResult object.

Method Summary

Modifier and Type	Method	Description
Pair<Set<R>>	getPartitions()
Pair<R>	getPromoted()

Methods inherited from class java.lang.Object

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

Constructor Details

SplitResult

public SplitResult(Pair<R> promoted,
 Pair<Set<R>> partitions)

The constructor for a ISplitFunction.SplitResult object.

Parameters:

promoted - promoted

partitions - partitions

Method Details

getPromoted

public Pair<R> getPromoted()

getPartitions

public Pair<Set<R>> getPartitions()