Clusters of workstations are one of the most suitable resources to assist e-scientists in the execution of largescale experiments that demand processing power. The utilization rat...
When data resides on tertiary storage, clustering is the key to achieving high retrieval performance. However, a straightforward approach to clustering massive amounts of data on ...
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
Most previous work on the recently developed languagemodeling approach to information retrieval focuses on document-specific characteristics, and therefore does not take into acc...
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...