A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
In this paper, we present a methodology for profiling parallel applications executing on the IBM PowerXCell 8i (commonly referred to as the “Cell” processor). Specifically, we...
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson...
We present a strategy for analyzing large, social small-world graphs, such as those formed by human networks. Our approach brings together ideas from a number of different resear...
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...