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2018 | OriginalPaper | Buchkapitel

Neighbourhood Graphs and Locally Minimal Triangulations

verfasst von : Ivana Kolingerová, Tomáš Vomáčka, Martin Maňák, Andrej Ferko

Erschienen in: Transactions on Computational Science XXXIII

Verlag: Springer Berlin Heidelberg

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Abstract

Neighbourhood (or proximity) graphs, such as nearest neighbour graph, closest pairs, relative neighbourhood graph and k-nearest neighbour graph are useful tools in many tasks inspecting mutual relations, similarity and closeness of objects. Some of neighbourhood graphs are subsets of Delaunay triangulation (DT) and this relation can be used for efficient computation of these graphs. This paper concentrates on relation of neighbourhood graphs to the locally minimal triangulation (LMT) and shows that, although generally these graphs are not LMT subgraphs, in most cases LMT contains all or many edges of these graphs. This fact can also be used for the neighbourhood graphs computation, namely in kinetic problems, because LMT computation is easier.

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Metadaten
Titel
Neighbourhood Graphs and Locally Minimal Triangulations
verfasst von
Ivana Kolingerová
Tomáš Vomáčka
Martin Maňák
Andrej Ferko
Copyright-Jahr
2018
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-58039-4_7