CoSi: Visual Comparison of Similarities in High-Dimensional Data Ensembles

dc.contributor.authorHeim, Anjaen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.authorHeinzl, Christophen_US
dc.contributor.editorAndres, Bjoern and Campen, Marcel and Sedlmair, Michaelen_US
dc.date.accessioned2021-09-25T16:36:30Z
dc.date.available2021-09-25T16:36:30Z
dc.date.issued2021
dc.description.abstractComparative analysis of multivariate datasets, e.g. of advanced materials regarding the characteristics of internal structures (fibers, pores, etc.), is of crucial importance in various scientific disciplines. Currently domain experts in materials science mostly rely on sequential comparison of data using juxtaposition. Our work assists domain experts to perform detailed comparative analyses of large ensemble data in materials science applications. For this purpose, we developed a comparative visualization framework, that includes a tabular overview and three detailed visualization techniques to provide a holistic view on the similarities in the ensemble. We demonstrate the applicability of our framework on two specific usage scenarios and verify its techniques using a qualitative user study with 12 material experts. The insights gained from our work represent a significant advancement in the field of comparative material analysis of high-dimensional data. Our framework provides experts with a novel perspective on the data and eliminates the need for time-consuming sequential exploration of numerical data.en_US
dc.description.sectionheadersVisual Parameter Space Analysis
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20211378
dc.identifier.isbn978-3-03868-161-8
dc.identifier.pages117-124
dc.identifier.urihttps://doi.org/10.2312/vmv.20211378
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20211378
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectApplied computing
dc.subjectPhysical sciences and engineering
dc.titleCoSi: Visual Comparison of Similarities in High-Dimensional Data Ensemblesen_US
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