Data clustering and the glassy structures of randomness
Part of the Lecture Notes in Physics book series (LNP, volume 492)
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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- J. Hertz A. Krogh and R. G. Palmer. Introduction to the Theory of Neural Computation, volume 1 of Lecture Notes Volume in the Santa Fe Institute Studies in the sciences of complexity. Addison-Wesley, Santa Fe, 1 edition, 1991.Google Scholar
- P. R. Krishnaiah and L. N. Kanal. Classification Pattern Recognition and Reduction of Dimensionality, Handbook of Statistics, volume 2. North Holland, Amsterdam, 1982.Google Scholar
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