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Constrained Clustering Problems

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Advances in Data Science and Classification

Abstract

In the paper a view, based on the optimization approach, is given on different types of constrained clustering problems and methods for their solution.

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© 1998 Springer-Verlag Berlin · Heidelberg

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Batagelj, V., Ferligoj, A. (1998). Constrained Clustering Problems. In: Rizzi, A., Vichi, M., Bock, HH. (eds) Advances in Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72253-0_19

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  • DOI: https://doi.org/10.1007/978-3-642-72253-0_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64641-9

  • Online ISBN: 978-3-642-72253-0

  • eBook Packages: Springer Book Archive

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