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2012 IEEE 28th International Conference on Data Engineering (2012)
Arlington, Virginia USA
Apr. 1, 2012 to Apr. 5, 2012
ISSN: 1084-4627
ISBN: 978-0-7695-4747-3
pp: 1285-1288
When comparing clustering results, any evaluation metric breaks down the available information to a single number. However, a lot of evaluation metrics are around, that are not always concordant nor easily interpretable in judging the agreement of a pair of clusterings. Here, we provide a tool to visually support the assessment of clustering results in comparing multiple clusterings. Along the way, the suitability of a couple of clustering comparison measures can be judged in different scenarios.

A. Zimek, S. Goldhofer, H. Kriegel, E. Achtert and E. Schubert, "Evaluation of Clusterings -- Metrics and Visual Support," 2012 IEEE 28th International Conference on Data Engineering(ICDE), Arlington, Virginia USA, 2012, pp. 1285-1288.
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