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The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
Linear projections are one of the most common approaches to visualize high-dimensional data. Since the space of possible projections is large, existing systems usually select a small set of interesting projections by ranking ...
Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections
(The Eurographics Association and John Wiley & Sons Ltd., 2015)
We introduce a novel interactive framework for visualizing and exploring high-dimensional datasets based on subspace analysis and dynamic projections. We assume the high-dimensional dataset can be represented by a mixture ...
Visualizing Robustness of Critical Points for 2D Time-Varying Vector Fields
(The Eurographics Association and Blackwell Publishing Ltd., 2013)
Analyzing critical points and their temporal evolutions plays a crucial role in understanding the behavior of vector fields. A key challenge is to quantify the stability of critical points: more stable points may represent ...
Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data
(The Eurographics Association and John Wiley and Sons Ltd., 2014)
Dimension reduction techniques are essential for feature selection and feature extraction of complex highdimensional data. These techniques, which construct low-dimensional representations of data, are typically geometrically ...