Andreas Weingessel, Evgenia Dimitriadou and Kurt Hornik
An Ensemble Method for Clustering
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Combination strategies in classification are a popular way of overcoming
instabilities in classification algorithms. A direct application of ideas
such as "voting" to cluster analysis problems is not possible, as no a
priori class information for the patterns is available. We present a
methodology for combining ensembles of partitions obtained by clustering,
discuss the properties of such combination strategies and relate them to
the task of assessing partition "aggrement".