Citation:Cabral, E. M., Evangelos, E. M. and Minghim, R. (2020) 'Visual analysis of interactive document clustering streams', ACM International Conference Proceeding Series Salerno, Italy, 28 Sept - 2 Oct. doi: 10.1145/3399715.3399962
Interactive clustering techniques play a key role by putting the user in the clustering loop, allowing her to interact with document group abstractions instead of full-length documents. It allows users to focus on corpus exploration as an incremental task. To explore Information Discovery's incremental aspect, this article proposes a visual component to depict clustering membership changes throughout a clustering iteration loop in both static and dynamic data sets. The visual component is evaluated with an expert user and with an experiment with data streams.
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