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Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data
(The Eurographics Association and John Wiley & Sons Ltd., 2017)
One main task for domain experts in analysing their nD data is to detect and interpret class/cluster separations and outliers. In fact, an important question is, which features/dimensions separate classes best or allow a ...
General Projective Maps for Multidimensional Data Projection
(The Eurographics Association and John Wiley & Sons Ltd., 2016)
To project high-dimensional data to a 2D domain, there are two well-established classes of approaches: RadViz and Star Coordinates. Both are well-explored in terms of accuracy, completeness, distortions, and interaction ...
Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data
(The Eurographics Association and John Wiley & Sons Ltd., 2015)
The visual analysis of multivariate projections is a challenging task, because complex visual structures occur. This causes fatigue or misinterpretations, which distorts the analysis. In fact, the same projection can lead ...