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    Visualizing High-Dimensional Data: Advances in the Past Decade

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    Date
    2015
    Author
    Liu, Shusen
    Maljovec, Dan
    Wang, Bei
    Bremer, Peer-Timo
    Pascucci, Valerio ORCID
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    Abstract
    Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization over the past 15 years. We aim at providing actionable guidance for data practitioners to navigate through a modular view of the recent advances, allowing the creation of new visualizations along the enriched information visualization pipeline and identifying future opportunities for visualization research.
    BibTeX
    @inproceedings {10.2312:eurovisstar.20151115,
    booktitle = {Eurographics Conference on Visualization (EuroVis) - STARs},
    editor = {R. Borgo and F. Ganovelli and I. Viola},
    title = {{Visualizing High-Dimensional Data: Advances in the Past Decade}},
    author = {Liu, Shusen and Maljovec, Dan and Wang, Bei and Bremer, Peer-Timo and Pascucci, Valerio},
    year = {2015},
    publisher = {The Eurographics Association},
    DOI = {10.2312/eurovisstar.20151115}
    }
    URI
    http://dx.doi.org/10.2312/eurovisstar.20151115
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA