The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews an...
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, Georg...
This paper describes how to solve very large TravelingSalesman Problems heuristically by the parallelization of self-organizing maps on cluster architectures. The used way of para...
Hannes Schabauer, Erich Schikuta, Thomas Weish&aum...
Screening is an important task to convert a continuoustone image into a binary image with pure black and white pixels. The main contribution of this paper is to show a new algorit...