Dynamic Clustering and Visualization using Swarm Intelligence

From Anita Borg Institute Wiki

Presenter: Esin Saka (University of Louisville)

Clustering and visualizing high-dimensional sparse data simultaneously is a very attractive goal, yet it is also a challenging problem. Moreover, dynamic domains, such as practically any data generated on the Web, may require frequent costly updates of the clusters (and the visualization), whenever the dataset changes (e.g. new data records are added to the dataset). This research proposes solutions to these problems using a swarm-based approach.