2017
DOI: 10.1515/ausi-2017-0012
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Hierarchical ktjet clustering for parallel architectures

Abstract: Abstract. The reconstruction and analyze of measured data play important role in the research of high energy particle physics. This leads to new results in both experimental and theoretical physics. This requires algorithm improvements and high computer capacity. Clustering algorithm makes it possible to get to know the jet structure more accurately.More granular parallelization of the k t cluster algorithms was explored by combining it with the hierarchical clustering methods used in network evaluations. The … Show more

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Cited by 1 publication
(2 citation statements)
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References 32 publications
(34 reference statements)
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“…Hierarchical k t clustering In [25] it was studied how to do hierarchical clustering, following the rules of the k t algorithm. First the list of particles has to be transformed into a graph, with the particles themselves appointed as nodes.…”
Section: Sequential Recombination Jet Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…Hierarchical k t clustering In [25] it was studied how to do hierarchical clustering, following the rules of the k t algorithm. First the list of particles has to be transformed into a graph, with the particles themselves appointed as nodes.…”
Section: Sequential Recombination Jet Algorithmmentioning
confidence: 99%
“…For real world networks, hierarchical algorithms, like the Louvain method, provides an efficient way to produce the clusters. Fusing some of the aspects of these processes and the k t jet clustering, a more generic process can be conceived as it was studied in [25]. This solution might prove very useful for heavy ion physics, where the jet physics plays an important role.…”
Section: Introductionmentioning
confidence: 99%