Combining Visualization and Interactive Clustering for Exploring Large Document Pools

K. Simunic and J. Novak (Germany)


Information Exploration, Data Treatment andVisualization, Intelligent Interfaces, InformationRetrieval, Document Clustering


In this work we present a visual method for exploration of huge document pools. Our method is based on topological visualization with Self-organizing map and document clustering to categories, combining advantages of both concepts. Proposed method is interactive, the user can explore document pool with two different interaction modalities - from the perspective he is interested in and with different granularity of clustering allowing him to choose between having fast insight and precision of the insight into document pool.

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