2005 | OriginalPaper | Buchkapitel
Cluster Ensembles
verfasst von : Kurt Hornik
Erschienen in: Classification — the Ubiquitous Challenge
Verlag: Springer Berlin Heidelberg
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Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. Aggregating these to a “common” solution amounts to finding a consensus clustering, which can be characterized in a general optimization framework. We discuss recent conceptual and computational advances in this area, and indicate how these can be used for analyzing the structure in cluster ensembles by clustering its elements.