Abstract
SOM document-map based search engines require initial document clustering in order to present results in a meaningful way. This paper reports on our ongoing research in applications of Bayesian Networks for document map creation at various stages of document processing. Modifications are proposed to original algorithms based on our experience of superiority of crisp edge point between classes/groups of documents.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Kłopotek, M.A., Wierzchoń, S.T., Ciesielski, K., Dramiński, M., Czerski, D. (2005). Coexistence of Fuzzy and Crisp Concepts in Document Maps. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_136
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DOI: https://doi.org/10.1007/11550907_136
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