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Parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and over plotting which hamper the recognition of patterns in the data. We present an edge-bundling method using density-based clustering for each dimension. This reduces clutter and provides a faster overview of clusters and trends. Moreover, it allows rendering the clustered lines using polygons, decreasing rendering time remarkably. In addition, we design interactions to support multidimensional clustering with this method. A user study shows improvements over the classic parallel coordinates plot in two user tasks: correlation estimation and subset tracing.
Strips, Layout, Image color analysis, Visualization, Data visualization, Rendering (computer graphics), Clutter

G. Palmas, M. Bachynskyi, A. Oulasvirta, H. P. Seidel and T. Weinkauf, "An Edge-Bundling Layout for Interactive Parallel Coordinates," 2014 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Yokohama, Japan, 2014, pp. 57-64.
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