Computational analysis reveals core limitations of clustering in large document corpora, highlighting issues with quadratic running time and retrieval efficacy.
Document clustering has not been well received as an information retrieval tool. Objections to its use fall into two main categories: first, that clustering is too slow for large corpora (with running time often quadratic in the number of documents); and second, that clustering does not appreciably improve retrieval.
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Cutting et al. (1992) studied this question.
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