2014
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An Edge-Bundling Layout for Interactive Parallel Coordinates
Proc. IEEE PacificVis, Yokohama, Japan, March 4 - 7, 2014
Abstract
Parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and overplotting 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.
Resources
Download
- PDF [4.8 MB]
- Video showing interactions with our PCP method (MPG4) [14.8 MB]
- Video showing the responsiveness for large data sets (MPG4) [8.5 MB]
- BibTeX-Record