27 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.HC2019★ 1 cited
Subspace Shapes: Enhancing High-Dimensional Subspace Structures via Ambient Occlusion Shading
Bing Wang, Klaus Mueller
We test the hypothesis whether transforming a data matrix into a 3D shaded surface or even a volumetric display can be more appealing to humans than a scatterplot since it makes di…
cs.HC2016★ 27 cited
The Subspace Voyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces
Bing Wang, Klaus Mueller
Analyzing high-dimensional data and finding hidden patterns is a difficult problem and has attracted numerous research efforts. Automated methods can be useful to some extent but b…
cs.HC2013★ 1 cited
SketchPadN-D: WYDIWYG Sculpting and Editing in High-Dimensional Space
Bing Wang, Puripant Ruchikachorn, Klaus Mueller
High-dimensional data visualization has been attracting much attention. To fully test related software and algorithms, researchers require a diverse pool of data with known and des…