Uses of Class
kieker.analysis.generic.clustering.mtree.utils.Pair
| Package | Description |
|---|---|
| kieker.analysis.generic.clustering.mtree |
Copyright 2022 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 2022 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 2022 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.
|
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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<java.util.Set<R>>ISplitFunction.SplitResult. getPartitions()Pair<R>ISplitFunction.SplitResult. getPromoted()Pair<java.util.Set<T>>BalancedPartitionFunction. process(Pair<T> promoted, java.util.Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)Processes the balanced partition.Pair<java.util.Set<T>>IPartitionFunction. process(Pair<T> promoted, java.util.Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)Executes the partitioning.Pair<T>IPromotionFunction. process(java.util.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(java.util.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<java.util.Set<T>>BalancedPartitionFunction. process(Pair<T> promoted, java.util.Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)Processes the balanced partition.Pair<java.util.Set<T>>IPartitionFunction. process(Pair<T> promoted, java.util.Set<T> dataSet, IDistanceFunction<? super T> distanceFunction)Executes the partitioning.Constructors in kieker.analysis.generic.clustering.mtree with parameters of type Pair Constructor Description SplitResult(Pair<R> promoted, Pair<java.util.Set<R>> partitions)The constructor for aISplitFunction.SplitResultobject. -
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 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 java.lang.Comparable<T>>
Pair<T>MTreeUtils. minMax(java.lang.Iterable<T> items)Identifies the minimum and maximum elements from an iterable, according to the natural ordering of the elements.