In this paper, we introduce a coherent biomedical literature clustering and summarization approach that employs a graphical representation method for text using a biomedical ontology. The key of the approach is to construct document cluster models as semantic chunks capturing the core semantic relationships in the ontology-enriched scale-free graphical representation of documents. These documen...

1 Choose k cluster centers, which are usually k randomly-chosen patterns or k randomly defined points inside the vector space. 2 Assign each pattern to the closest cluster center (using the cosine measure). 3 Recompute the cluster centers using the current cluster memberships. 4 If a convergence criterion is met (e.g. no reassignment of patterns to new cluster centers), stop the algorithm. Othe...

Differences in semantic clustering and switching were examined in men with frontal lobe lesions, men with schizophrenia and healthy men. Men with frontal lobe lesions and men with schizophrenia generated fewer words than healthy men and presented intact clustering, but decreased switching during the semantic fluency task. However, after controlling for the number of words produced, between-grou...