IEEE Transactions on Information Technology in Biomedicine · 2005 · 15 citations · 19 references
ComputingBiomedical InformaticsComputer ScienceBiomedical Text MiningClinical Information SystemsInformation RetrievalBiomedical Document RetrievalDocument ClusteringDocument RepresentationHealth Information RetrievalInteractive Information RetrievalText ClusteringDistributional ClusteringInteractive RetrievalInteractive Retrieval SystemsInteractive SearchInteractive Search SystemsMedical Document RetrievalUnsupervised ClusteringVisual Clustering
The ability to perform an exploratory search and retrieval of relevant documents from a large collection of domain-specific documents is an important requirement both in the field of medicine and other areas. In this paper, we present a unsupervised distributional clustering technique called SOPHIA. SOPHIA provides a semantically meaningful visual clustering of the document corpus in conjunction with an intuitive interactive search facility. We assess the effectiveness of SOPHIA's cluster-based information retrieval for the MEDLINE testset collection known as OHSUMED.
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Adhi Harmoko S, M.Komp, Joseph Marie Jacquard et al. · 2005 · 18.4K citations
V. J. Rayward‐Smith, Thomas H. Cormen, Charles E. Leiserson et al. · Journal of the Operational Research Society · 1991 · 17K citations
The information bottleneck method
Douglass R. Cutting, David R. Karger, Jan Pedersen et al. · ACM SIGIR Forum · 2017 · 1.4K citations