Uses of Class
kieker.analysis.generic.clustering.mtree.utils.Pair

Packages that use Pair

Package	Description
kieker.analysis.generic.clustering.mtree	Copyright 2026 Kieker Project (http://kieker-monitoring.net) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.
kieker.analysis.generic.clustering.mtree.nodes	Copyright 2026 Kieker Project (http://kieker-monitoring.net) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.
kieker.analysis.generic.clustering.mtree.utils	Copyright 2026 Kieker Project (http://kieker-monitoring.net) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.

Uses of Pair in kieker.analysis.generic.clustering.mtree

Methods in kieker.analysis.generic.clustering.mtree that return Pair

Modifier and Type	Method	Description
Pair<Set<R>>	ISplitFunction.SplitResult.getPartitions()
Pair<R>	ISplitFunction.SplitResult.getPromoted()
Pair<Set<T>>	BalancedPartitionFunction.process(Pair<T> promoted, Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Processes the balanced partition.
Pair<Set<T>>	IPartitionFunction.process(Pair<T> promoted, Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Executes the partitioning.
Pair<T>	IPromotionFunction.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.
Pair<T>	RandomPromotionFunction.process(Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)

Methods in kieker.analysis.generic.clustering.mtree with parameters of type Pair

Modifier and Type	Method	Description
Pair<Set<T>>	BalancedPartitionFunction.process(Pair<T> promoted, Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Processes the balanced partition.
Pair<Set<T>>	IPartitionFunction.process(Pair<T> promoted, Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Executes the partitioning.

Constructors in kieker.analysis.generic.clustering.mtree with parameters of type Pair

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

Uses of Pair in kieker.analysis.generic.clustering.mtree.nodes

Methods in kieker.analysis.generic.clustering.mtree.nodes that return Pair

Modifier and Type	Method	Description
final Pair<AbstractNode<T>>	AbstractNode.splitNodes()

Uses of Pair in kieker.analysis.generic.clustering.mtree.utils

Methods in kieker.analysis.generic.clustering.mtree.utils that return Pair

Modifier and Type	Method	Description
static <T extends Comparable<T>> Pair<T>	MTreeUtils.minMax(Iterable<T> items)	Identifies the minimum and maximum elements from an iterable, according to the natural ordering of the elements.