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Graphs depicted as node-link diagrams are widely used to show relationships between entities. However, node-link diagrams comprised of a large number of nodes and edges often suffer from visual clutter. The use of edge bundling remedies this and reveals high-level edge patterns. Previous methods require the graph to contain a hierarchy for this, or they(More)
(a) (b) (c) (d) Figure 1: (a)Cluttered image showing the fibers in a healthy brain by seeding in the whole volume. The color coding shows main eigenvalue. (b)(c)(d) Clustering results. The color coding represents the clusters.(b) Hierarchical clustering with single-link and mean distance between fibers. (c) The same as (b) but with closest point distance(More)
A new method is presented for the visualization of hierarchical information, such as directory structures and organization structures. Cushion treemaps inherit the elegance of standard treemaps: compact, space-filling displays of hierarchical information, based on recursive subdivision of a rectangular image space. Intuitive shading is used to provide(More)
We present a hardware-accelerated method for visualizing 3D flow fields. The method is based on insertion, advection, and decay of dye. To this aim, we extend the texture-based IBFV technique presented in [van Wijk 2001] for 2D flow visualization in two main directions. First, we decompose the 3D flow visualization problem in a series of 2D instances of the(More)
Parallel coordinate plots (PCPs) are a well-known visualization technique for viewing multivariate data. In the past, various visual modifications to PCPs have been proposed to facilitate tasks such as correlation and cluster identification, to reduce visual clutter, and to increase their information throughput. Most modifications pertain to the use of(More)
The analysis of large graphs plays a prominent role in various fields of research and is relevant in many important application areas. Effective visual analysis of graphs requires appropriate visual presentations in combination with respective user interaction facilities and algorithmic graph analysis methods. How to design appropriate graph analysis(More)