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dc.contributor.authorKern, Michaelen_US
dc.contributor.authorWestermann, Rüdigeren_US
dc.contributor.editorSchulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michaelen_US
dc.description.abstractThe extraction of a jet-stream core line in a wind field results in many disconnected line segments of arbitrary topology. In an ensemble of wind fields, these structures show high variation, coincide only partly, and almost nowhere agree in all ensemble members. In this paper, we shed light on the use of clustering for visualizing an ensemble of jet-stream core lines. Since classical approaches for clustering 3D line sets fail due to the mentioned properties, we analyze different strategies and compare them to each other: We cluster the 3D scalar fields from which jet-stream core lines are extracted. We cluster on a closest-point representation of each set of core lines. These representations are derived from the extracted line geometry and can be used independently of the line orientation and topology. We cluster on the 3D line set using the Hausdorff distance as similarity metric. In the resulting clusters, we visualize core lines from the most representative ensemble member. We further compute ridges in a single 3D visitation map that is build from the ensemble of core lines, and we extract the most central core line from the ensemble closest-point representation. These ''averages'' are compared to the clustering results, and they are put into relation to ground truth jet-stream core lines at the predicted lead time.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleClustering Ensembles of 3D Jet-Stream Core Linesen_US
dc.description.seriesinformationVision, Modeling and Visualization
dc.description.sectionheadersEnsemble Analysis and Visualization

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  • VMV19
    ISBN 978-3-03868-098-7

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