2012 IEEE 28th International Conference on Data Engineering (2012)
Arlington, Virginia USA
Apr. 1, 2012 to Apr. 5, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2012.128
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.