| dc.contributor.author | Liu, Shusen | en_US |
| dc.contributor.author | Maljovec, Dan | en_US |
| dc.contributor.author | Wang, Bei | en_US |
| dc.contributor.author | Bremer, Peer-Timo | en_US |
| dc.contributor.author | Pascucci, Valerio | en_US |
| dc.contributor.editor | R. Borgo and F. Ganovelli and I. Viola | en_US |
| dc.date.accessioned | 2015-05-24T19:44:48Z | |
| dc.date.available | 2015-05-24T19:44:48Z | |
| dc.date.issued | 2015 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/eurovisstar.20151115 | en_US |
| dc.description.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. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.3.3 [Computer Graphics] | en_US |
| dc.subject | Picture/Image Generation | en_US |
| dc.subject | Line and curve generation | en_US |
| dc.title | Visualizing High-Dimensional Data: Advances in the Past Decade | en_US |
| dc.description.seriesinformation | Eurographics Conference on Visualization (EuroVis) - STARs | en_US |
| dc.description.sectionheaders | High-dimensional Data | en_US |
| dc.identifier.doi | 10.2312/eurovisstar.20151115 | en_US |
| dc.identifier.pages | 127-147 | en_US |
