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Voting in clustering and finding the number of clusters

n this paper we present an unsupervised algorithm which performs clustering given a data set and which can also find the number of clusters existing in it. This algorithm consists of two techniques...
Year of publication:
1999-03-01
Authors: Dimitriadou, Evgenia ; Weingessel, Andreas ; Hornik, Kurt
Published in:
Publisher: Institut für Informationsverarbeitung und -wirtschaft <Wien>
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Extent:
158720 bytes
8 p.
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Type of publication: Article
Language: English
Classification: Subject matter and research method of business administration ; Individual Articles ; No country specification
Source:
USB Cologne (business full texts)
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