Uses of Interface
kieker.analysis.generic.clustering.mtree.IDistanceFunction

Packages that use IDistanceFunction

Package	Description
kieker.analysis.generic.clustering	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	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.graph.clustering	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 IDistanceFunction in kieker.analysis.generic.clustering

Constructors in kieker.analysis.generic.clustering with parameters of type IDistanceFunction

Modifier	Constructor	Description
	MedoidGenerator(IDistanceFunction<T> distanceFunction)
	NaiveMedoidGenerator(IDistanceFunction<T> distanceFunction)

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

Fields in kieker.analysis.generic.clustering.mtree declared as IDistanceFunction

Modifier and Type	Field	Description
static final IDistanceFunction<DistanceFunctionFactory.IEuclideanCoordinate>	DistanceFunctionFactory.EUCLIDEAN	A distance function object that calculates the distance between two euclidean coordinates.
static final IDistanceFunction<List<Double>>	DistanceFunctionFactory.EUCLIDEAN_DOUBLE_LIST	A distance function object that calculates the distance between two coordinates represented by lists of Doubles.
static final IDistanceFunction<List<Integer>>	DistanceFunctionFactory.EUCLIDEAN_INTEGER_LIST	A distance function object that calculates the distance between two coordinates represented by lists of Integers.

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

Modifier and Type	Method	Description
static <D> IDistanceFunction<D>	DistanceFunctionFactory.cached(IDistanceFunction<D> distanceFunction)	Creates a cached version of a distance function.
IDistanceFunction<? super T>	MTree.getDistanceFunction()

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

Modifier and Type	Method	Description
static <D> IDistanceFunction<D>	DistanceFunctionFactory.cached(IDistanceFunction<D> distanceFunction)	Creates a cached version of a distance function.
Pair<Set<T>>	BalancedPartitionFunction.process(Pair<T> promoted, Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Processes the balanced partition.
ISplitFunction.SplitResult<T>	ComposedSplitFunction.process(Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)
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.
ISplitFunction.SplitResult<T>	ISplitFunction.process(Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)	Processes the splitting of a node.
Pair<T>	RandomPromotionFunction.process(Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)

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

Modifier	Constructor	Description
	MTree(int minNodeCapacity, int maxNodeCapacity, IDistanceFunction<? super T> distanceFunction, ISplitFunction<T> existingSplitFunction)	Constructs an M-Tree with the specified minimum and maximum node capacities and distance function.
	MTree(int minNodeCapacity, IDistanceFunction<? super T> distanceFunction, ISplitFunction<T> splitFunction)	Constructs an M-Tree with the specified minimum node capacity and distance function.
	MTree(IDistanceFunction<? super T> distanceFunction, ISplitFunction<T> splitFunction)	Constructs an M-Tree with the specified distance function.
	MTreeGeneratorStage(IDistanceFunction<T> distanceFunction)
	MTreeGeneratorStage(IDistanceFunction<T> distanceFunction, int minNodeCapacity, int maxNodeCapacity)
	TrimmedAlgorithm(T[] models, IDistanceFunction<T> distanceFunction)

Uses of IDistanceFunction in kieker.analysis.generic.graph.clustering

Classes in kieker.analysis.generic.graph.clustering that implement IDistanceFunction

Modifier and Type	Class	Description
class	GraphEditDistance<N extends INode,E extends IEdge>	This class calculates a custom graph edit distance between two Behavior Models.
class	OPTICSDataGED<T>

Constructors in kieker.analysis.generic.graph.clustering with parameters of type IDistanceFunction

Modifier	Constructor	Description
	OPTICSDataGED(IDistanceFunction<T> distanceFunction)