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ClusTR: Exploring multivariate cluster correlations and topic trends

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5782 LNAI(PART 2) 722-725
DOI: 10.1007/978-3-642-04174-7_49
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Abstract

We present a demonstration of ClusTR, a highly interactive system for exploring relationships between different clusterings of a dataset and for viewing the evolution in time of topics (e.g., tags associated with objects in the dataset) within and across such clusters. In particular, ClusTR allows exploration of generic multi-dimensional, text labeled and time sensitive data. © 2009 Springer Berlin Heidelberg.

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APA

Di Caro, L., & Jaimes, A. (2009). ClusTR: Exploring multivariate cluster correlations and topic trends. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5782 LNAI, pp. 722–725). https://doi.org/10.1007/978-3-642-04174-7_49

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