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Data clustering and the glassy structures of randomness

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Part of the book series: Lecture Notes in Physics ((LNP,volume 492))

Abstract

Using techniques, borrowed from statistical mechanics of spin glasses, we investigate the properties of cluster algorithms applied to random and non-random data points.

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Miguel Rubí Conrado Pérez-Vicente

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© 1997 Springer-Verlag

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Lootens, E., Van den Broeck, C. (1997). Data clustering and the glassy structures of randomness. In: Rubí, M., Pérez-Vicente, C. (eds) Complex Behaviour of Glassy Systems. Lecture Notes in Physics, vol 492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0104846

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  • DOI: https://doi.org/10.1007/BFb0104846

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63069-2

  • Online ISBN: 978-3-540-69123-5

  • eBook Packages: Springer Book Archive

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