Visualizing High-Dimensional Data: Advances in the Past Decade
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}
}
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}
}