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A Graph-Based Biomedical Literature Clustering Approach Utilizing Term's Global and Local Importance Information

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 …