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...

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Year of publication:	1999-03-01
Authors:	Dimitriadou, Evgenia ; Weingessel, Andreas ; Hornik, Kurt
Published in:	Wirtschaftsuniversität Wien - Forschungsbezogene elektronische Publikationen Wirtschaftsuniversität Wien - Institut für Informationsverarbeitung und -wirtschaft - SFB Adaptive Information Systems and Modelling in Economics and Management Science - Report Series ; 30 (1999)
Publisher:	Institut für Informationsverarbeitung und -wirtschaft <Wien>

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Extent:	158720 bytes 8 p. application/pdf
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)

Persistent link: https://www.econbiz.de/10005841715