Choonghyun Han

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OBJECTIVES Measurement of similarities between documents is typically influenced by the sparseness of the term-document matrix employed. Latent semantic indexing (LSI) may improve the results of this type of analysis. METHODS In this study, LSI was utilized in an attempt to reduce the term vector space of clinical documents and newspaper editorials. (More)
The measurement of similarity between documents is usually influenced by sparseness of term-document matrix. Latent semantic indexing (LSI) is an alternative method to solve the problem, and the dimension reduction by LSI improves the performance of the measurement of the similarity. In this study, LSI is examined as a method to cluster clinical documents(More)
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