EuroVisPosters2024

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https://diglib.eg.org/handle/10.2312/3606996

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Browsing EuroVisPosters2024 by Subject "CCS Concepts: Human-centered computing → Visualization techniques"

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    Interactive Human-guided Dimensionality Reduction using Landmark Positioning
    (The Eurographics Association, 2024) Cech, Tim; Raue, Christian; Sadrieh, Frederic; Scheibel, Willy; Döllner, Jürgen; Kucher, Kostiantyn; Diehl, Alexandra; Gillmann, Christina
    Dimensionality Reduction Techniques (DRs) are used for projecting high-dimensional data onto a two-dimensional plane. One subclass of DRs are such techniques that utilize landmarks. Landmarks are a subset of the original data space that are projected by a slow and more precise technique. The other data points are then placed in relation to these landmarks with respect to their distance in the high-dimensional space. We propose a technique to refine the placement of the landmarks by a human user. We test two different techniques for unprojecting the movement of the low-dimensional landmarks into the high-dimensional data space. We showcase that such a movement can increase certain quality metrics while decreasing others. Therefore, users may use our technique to challenge their understanding of the high-dimensional data space.
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    LaNe Plot: A Visual Fingerprinting Technique for Sequential Data
    (The Eurographics Association, 2024) Rathish, Harith; Picón, Ginés Carreto; Schulz, Hans-Jörg; Kucher, Kostiantyn; Diehl, Alexandra; Gillmann, Christina
    Visual summaries of sequential data are often used to identify common trends at a glance. In this poster, we propose a visualization technique to fingerprint sequential data by showing the difference between contiguous data points. For each data point in the sequence, we visualize the difference between itself and the last data point as well as the next data point. As an application, we visualized the revision histories of Wikipedia articles to demonstrate the exploratory value of this technique.