4.7 Article

Visualizing High-Dimensional Data: Advances in the Past Decade

期刊

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2016.2640960

关键词

Taxonomy; high-dimensional data; multidimensional data; visualization; data models; computational modeling

资金

  1. US DOE by LLNL [DE-AC52-07NA27344., LLNL-CONF-658933]
  2. US National Science Foundation [IIS-1513616, 0904631, DE-EE0004449, DE-NA0002375, DE-SC0007446, DE-SC0010498]
  3. NSG [IIS-1045032]
  4. NSF [EFTACI-0906379]
  5. DOE/NEUP [120341]
  6. DOE/Codesign [P01180734]
  7. Direct For Computer & Info Scie & Enginr [1314813] Funding Source: National Science Foundation
  8. Direct For Computer & Info Scie & Enginr
  9. Office of Advanced Cyberinfrastructure (OAC) [0904631] Funding Source: National Science Foundation
  10. Div Of Information & Intelligent Systems [1314813] Funding Source: National Science Foundation
  11. Div Of Information & Intelligent Systems
  12. Direct For Computer & Info Scie & Enginr [1513616, 1654221, 1314896] Funding Source: National Science Foundation
  13. U.S. Department of Energy (DOE) [DE-SC0010498, DE-SC0007446] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

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 that focuses on the past decade. We aim at providing guidance for data practitioners to navigate through a modular view of the recent advances, inspiring the creation of new visualizations along the enriched visualization pipeline, and identifying future opportunities for visualization research.

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