In geographical epidemiology it is often required to produce a map of the risk of disease over a study region, a disease map. This paper reviews a variety of approaches to produce...
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
Convenient reconstruction of natural plants is a difficult task because of their intrinsic complex geometry. In this paper, we propose a convenient image-based approach to modeli...
This paper describes an approach to digesting threads of archived discussion lists by clustering messages into approximate topical groups, and then extracting shorter overviews, a...