  The largest collection of medical evidence in the world is PubMed. However,
the significant barrier in accessing and extracting information is information
organization. A factor that contributes towards this barrier is managing
medical controlled vocabularies that allow us to systematically and
consistently organize, index, and search biomedical literature. Additionally,
from users' perspective, to ultimately improve access, visualization is likely
to play a powerful role. There is a strong link between information
organization and information visualization, as many powerful visualizations
depend on clustering methods. To improve visualization, therefore, one has to
develop concrete and scalable measures for vocabularies used in indexing and
their impact on document clustering. The focus of this study is on the
development and evaluation of clustering methods. The paper concludes with
demonstration of downstream network visualizations and their impact on
discovering potentially valuable and latent genetic and molecular associations.
