| Literature DB >> 28113321 |
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci.
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 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.Year: 2016 PMID: 28113321 DOI: 10.1109/TVCG.2016.2640960
Source DB: PubMed Journal: IEEE Trans Vis Comput Graph ISSN: 1077-2626 Impact factor: 4.579