Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
Background: The hierarchical clustering tree (HCT) with a dendrogram [1] and the singular value decomposition (SVD) with a dimension-reduced representative map [2] are popular met...
XML diff algorithms proposed in the literature have focused on the structural analysis of the document. When XML is used for data exchange, or when different versions of a documen...
Generating hypermedia presentations requires processing constituent material into coherent, unified presentations. One large challenge is creating a generic process for producing ...
Lloyd Rutledge, Martin Alberink, Rogier Brussee, S...
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...