Abstract
In this paper we address the question of multicriteria relational clustering. We develop a method that builds clusters and relations between these clusters on the basis of a binary outranking matrix. An extension of the k-means algorithm is presented and tested on artificial data sets. Finally, an example about the clustering of journals from the field of “Operations Research and Management Science” is illustrated.
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© 2009 Springer-Verlag Berlin Heidelberg
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De Smet, Y., Eppe, S. (2009). Multicriteria Relational Clustering: The Case of Binary Outranking Matrices. In: Ehrgott, M., Fonseca, C.M., Gandibleux, X., Hao, JK., Sevaux, M. (eds) Evolutionary Multi-Criterion Optimization. EMO 2009. Lecture Notes in Computer Science, vol 5467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01020-0_31
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DOI: https://doi.org/10.1007/978-3-642-01020-0_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01019-4
Online ISBN: 978-3-642-01020-0
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