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Posters Session #1

A Framework for Interactive Exploration of Clusters in Massive Data using 3D Scatter Plots and WebGL

Authors
  • Lukas Wagner Hasso Plattner Institute
  • Willy Scheibel Hasso Plattner Institute
  • Daniel Limberger Hasso Plattner Institute
  • Matthias Trapp Hasso Plattner Institute
  • Jürgen Döllner Hasso Plattner Institute and University of Potsdam

Keywords
WebGL, scatter plot, massive data, cluster visualization, framework

Abstract. This work presents a rendering framework for the visualization of massive point datasets in the web. It includes highly interactive point rendering, cluster visualization, basic interaction methods, and importance-based labeling, while being available for both mobile and desktop browsers. Our evaluation indicates that the framework facilitates interactive visualization of tens of millions of data points without dynamic filtering and aggregation techniques.

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