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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© 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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