Visualizing High-Dimensional Data: Advances in the Past Decade

被引:218
作者
Liu, Shusen [1 ]
Maljovec, Dan [1 ]
Wang, Bei [1 ]
Bremer, Peer-Timo [2 ]
Pascucci, Valerio [1 ]
机构
[1] Univ Utah, Sci Comp & Imaging Inst, Salt Lake City, UT 84112 USA
[2] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA
基金
美国国家科学基金会;
关键词
Taxonomy; high-dimensional data; multidimensional data; visualization; data models; computational modeling; TOPOLOGY-BASED VISUALIZATION; MORSE-SMALE COMPLEXES; OF-THE-ART; MULTIVARIATE DATA; FLOW VISUALIZATION; POINT CLOUDS; MULTIDIMENSIONAL DATA; PERSISTENT HOMOLOGY; DATA EXPLORATION; FIBER SURFACES;
D O I
10.1109/TVCG.2016.2640960
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:1249 / 1268
页数:20
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