Abstract
In this research paper we pinpoint at the need of redesigning of the WebSOM document map creation algorithm. We insist that the SOM clustering should be preceded by identifying major topics of the document collection. Furthermore, the SOM clustering should be preceded by a pre-clustering process resulting in creation of groups of documents with stronger relationships; the groups, not the documents, should be subject of SOM clustering. We propose appropriate algorithms and report on achieved improvements.
Research partialy supported under KBN research grant 4 T11C 026 25 “Maps and intelligent navigation in WWW using Bayesian networks and artificial immune systems”
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Ciesielski, K., Dramiński, M., Kłopotek, M.A., Kujawiak, M., Wierzchoń, S.T. (2005). On Some Clustering Algorithms for Document Maps Creation. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_27
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DOI: https://doi.org/10.1007/3-540-32392-9_27
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