Evaluation of Clusterings - Metrics and Visual Support

—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.

• Type: Journal
• Year: 2012
• Where: ICDE
• Authors: Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
• Keywords: Database, Evaluation Metrics, ICDE 2012, Scenarios, Suitability