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The self-organizing map (SOM) is an efficient tool for visualizing high-dimensional data. In this paper, the clustering and visualization capabilities of the SOM, especially in the analysis of textual data, i.e., document collections, are reviewed and further developed. A novel clustering and visualization approach based on the SOM is proposed for the task of text mining. The proposed approach first...
In this paper, the clustering and visualization capabilities of the SOM, specifically tailored for the analysis of textual data, are reviewed and further developed. A novel clustering and visualization approach is proposed for the task of textual data mining. The proposed approach first transforms the document space into a multi-dimensional vector space by means of citation patterns. An intuitive...
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