We present a feasibility study of a power-reduction scheme that reduces the thermal power of processors by lowering frequency and voltage in the context of high-performance comput...
The goal of the paper is to present a novel Chi-square similarity measure and assess its performance through comparison with well-known similarity measures such as Cosine, Dice, a...
Oktay Ibrahimov, Ishwar K. Sethi, Nevenka Dimitrov...
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...