Abstract
With the increasing amount of information available in electronic document collections, methods for organizing these collections to allow topic-oriented browsing and orientation gain increasing importance. In this paper, we present the Growing Hierarchical Self-Organizing Map, which allows an automatic hierarchical decomposition and organization of documents. We present a case study based on a 3-month article collection from an Austrian daily newspaper.
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Dittenbach, M., Merkl, D., Rauber, A. (2001). Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map. In: Dorffner, G., Bischof, H., Hornik, K. (eds) Artificial Neural Networks — ICANN 2001. ICANN 2001. Lecture Notes in Computer Science, vol 2130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44668-0_70
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DOI: https://doi.org/10.1007/3-540-44668-0_70
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