Resource title

Fuzzy voting in clustering

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Resource description

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. (author's abstract) ; Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

Resource author

Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik

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Resource language

en

Resource content type

application/pdf

Resource resource URL

http://epub.wu.ac.at/742/1/document.pdf

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Adapt according to the license agreement. Always reference the original source and author.