| Ossorio, P.G. Classification space: A multivariate procedure for automatic document |
....Aiding information retrieval by discovering latent proximity structure has at least two lines of precedence in the literature. Hierarchical classification analyses are frequently used for term and document clustering [11] 12] 13] Latent class analysis [14] and factor analysis [15] 16] [17] have also been explored before for automatic document indexing and retrieval. In document clustering, for example, a notion of distance is defined such that two documents are considered close to the extent that they contain the same terms. The matrix of document todocument distances is then ....
.... analytic model, either by using very low dimensionality, or by converting the factor analysis results to a simple binary clustering [16] Third, some attempts have relied on excessively tedious data gathering techniques, requiring the collection of thousands of similarity judgments from humans [17] . Previously reported clustering and factor analytic approaches have also struggled with a certain representational awkwardness. Typically the original data explicitly relate two types of entities, terms and documents, and most conceptions of the retrieval problem mention both types (e.g. given ....
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Ossorio, P.G. Classification space: A multivariate procedure for automatic document
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P.G. Ossorio, Classification space: a multivariate procedure for automatic document indexing and retrieval, 479--524, Behavioral Research 2 (1965).
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P.G. Ossorio, "Classification space: a multivariate procedure for automated document indexing and retrieval", Multivariate Behavioral Research, 1966.
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P.G. Ossorio, "Classification space: a multivariate procedure for automatic document
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