In this paper, we propose a hierarchical architecture for grouping peers into clusters in a large-scale BitTorrent-like underlying overlay network in such a way that clusters are e...
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
We present an efficient, fully automated algorithm to assemble ESTs into full-length cDNA sequences that represent the complete coding regions of a gene. Our EST clustering algori...
Arthur Grossman, Charles Hauser, Hilary J. Holz, J...
Abstract. In applications such as video post-production users are confronted with large amounts of redundant unedited raw material, called rushes. Viewing and organizing this mater...
This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...