Now showing items 1-4 of 4

    • Clustering for Stacked Edge Splatting 

      Abdelaal, Moataz; Hlawatsch, Marcel; Burch, Michael; Weiskopf, Daniel (The Eurographics Association, 2018)
      We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layouts known from parallel edge splatting, individual graphs are horizontally stacked by drawing partial edges, leading to ...
    • Identifying Similar Eye Movement Patterns with t-SNE 

      Burch, Michael (The Eurographics Association, 2018)
      In this paper we describe an approach based on the t-distributed stochastic neighbor embedding (t-SNE) focusing on projecting high-dimensional eye movement data to two dimensions. The lower-dimensional data is then represented ...
    • A Taxonomy and Survey of Dynamic Graph Visualization 

      Beck, Fabian; Burch, Michael; Diehl, Stephan; Weiskopf, Daniel (© 2017 The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Dynamic graph visualization focuses on the challenge of representing the evolution of relationships between entities in readable, scalable and effective diagrams. This work surveys the growing number of approaches in this ...
    • Visually Abstracting Event Sequences as Double Trees Enriched with Category‐Based Comparison 

      Krause, Cedric; Agarwal, Shivam; Burch, Michael; Beck, Fabian (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)
      Event sequence visualization aids analysts in many domains to better understand and infer new insights from event data. Analysing behaviour before or after a certain event of interest is a common task in many scenarios. ...