Now showing items 41-51 of 51

    • Visualizing the Impact of Geographical Variations on Multivariate Clustering 

      Zhang, Yifan; Luo, Wei; Mack, Elizabeth A.; Maciejewski, Ross (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Traditional multivariate clustering approaches are common in many geovisualization applications. These algorithms are used to define geodemographic profiles, ecosystems and various other land use patterns that are based ...
    • Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology 

      Rieck, Bastian; Leitte, Heike (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Clustering algorithms support exploratory data analysis by grouping inputs that share similar features. Especially the clustering of unlabelled data is said to be a fiendishly difficult problem, because users not only have ...
    • Pathfinder: Visual Analysis of Paths in Graphs 

      Partl, Christian; Gratzl, Samuel; Streit, Marc; Wassermann, Anne-Mai; Pfister, Hanspeter; Schmalstieg, Dieter; Lex, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      The analysis of paths in graphs is highly relevant in many domains. Typically, path-related tasks are performed in node-link layouts. Unfortunately, graph layouts often do not scale to the size of many real world networks. ...
    • TimeArcs: Visualizing Fluctuations in Dynamic Networks 

      Dang, Tuan Nhon; Pendar, Nick; Forbes, Angus G. (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      In this paper we introduce TimeArcs, a novel visualization technique for representing dynamic relationships between entities in a network. Force-directed layouts provide a way to highlight related entities by positioning ...
    • Interactive 3D Force-Directed Edge Bundling 

      Zielasko, Daniel; Weyers, Benjamin; Hentschel, Bernd; Kuhlen, Torsten W. (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Interactive analysis of 3D relational data is challenging. A common way of representing such data are node-link diagrams as they support analysts in achieving a mental model of the data. However, naïve 3D depictions of ...
    • Comparing Node-Link and Node-Link-Group Visualizations From An Enjoyment Perspective 

      Saket, Bahador; Scheidegger, Carlos; Kobourov, Stephen (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      While evaluation studies in visualization often involve traditional performance measurements, there has been a concerted effort to move beyond time and accuracy. Of these alternative aspects, memorability and recall of ...
    • Exploring Items and Features with IF,FI-Tables 

      Corput, Paul van der; Wijk, Jarke J. van (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      The exploration of high-dimensional data is challenging because humans have difficulty to understand more than three dimensions. We present a new visualization concept that enables users to explore such data and, specifically, ...
    • Hierarchical Stochastic Neighbor Embedding 

      Pezzotti, Nicola; Höllt, Thomas; Lelieveldt, Boudewijn P. F.; Eisemann, Elmar; Vilanova, Anna (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      In recent years, dimensionality-reduction techniques have been developed and are widely used for hypothesis generation in Exploratory Data Analysis. However, these techniques are confronted with overcoming the trade-off ...
    • Enhancing Scatterplots with Multi-Dimensional Focal Blur 

      Staib, Joachim; Grottel, Sebastian; Gumhold, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Scatterplots directly depict two dimensions of multi-dimensional data points, discarding all other information. To visualize all data, these plots are extended to scatterplot matrices, which distribute the information of ...
    • The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data 

      Liu, Shusen; Bremer, Peer-Timo; Jayaraman, Jayaraman Thiagarajan; Wang, Bei; Summa, Brian; Pascucci, Valerio (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 ...
    • EuroVis 2016: Frontmatter 

      Kwan-Liu Ma; Giuseppe Santucci; Jarke van Wijk (Eurographics Association, 2016)