This is a completely useless processing play-around. But it looks nice, at least in my opinion. So click on the image below, lean back, watch it, and enjoy.

This graph visualization is a result of a research project at the Chair for Bioinformatics and Information Mining at the University of Konstanz to investigate the visual exploration of topic shifts. If you are interested in a more detailed description about the background and methods used, you may want to have a look at the referring paper(PDF).

The abtracts of the IEEE SMC A, B, and C transactions from 1996 to 2006 were used as input data.

One of my responsibilities at KNIME is the design and implementation of interactive views.

KNIME, pronounced [naim], is a modular data exploration platform that allows the user to visually create data flows (often referred to as pipelines).
This article should shortly introduce the views I developed so far and some which are still under construction. I describe the following views:

• Scatterplot
• Scatterplot matrix
• Line Plot
• Parallel coordinates
• Box Plot
• Dendrogram
• Rule 2D view

each with a screenshot and how the information is displayed in each visualization.

This is a small animation of how one of the best known cluster algorithm - the k-Means - works, and how it is related to the voronoi tesselation.