Global ranking

In this article, we present a graph-based knowledge representation for biomedical digital library literature clustering An efficient clustering method is developed to identify the ontology-enriched k-highest density term subgraphs that capture the …

In this paper, we explore how global ranking method in conjunction with local density method help identify meaningful term clusters from ontology enriched graph representation of biomedical literature corpus. One big problem with document clustering …