Fuzzy voting in clustering

Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik

Publication: Working/Discussion PaperWU Working Paper

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Abstract

In this paper we present a fuzzy voting scheme for cluster algorithms. This fuzzy voting method allows us to combine several runs of cluster algorithms resulting in a common fuzzy partition. This helps us to overcome instabilities of the cluster algorithms and results in a better clustering.

Publication series

SeriesReport Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Number29

WU Working Paper Series

  • Report Series SFB \Adaptive Information Systems and Modelling in Economics and Management Science\

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