Titlebook: Similarity-Based Clustering; Recent Developments Michael Biehl,Barbara Hammer,Thomas Villmann Book 2009 Springer-Verlag Berlin Heidelberg

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ocesses of these individuals, as informed by the information they had at their disposal. The story does not pretend to depict any individual’s actual conduct but is drawn from an in-depth quantitative and geographic analysis of the effects of their decisions over the past two years. The reconstructi

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Book 2009s. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large variety of di?erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medica

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Statistical Mechanics of On-line Learningthematical description of the training dynamics in model scenarios. We present the basic concepts and results of the approach in terms of several examples, including the learning of linear separable rules, the training of multilayer neural networks, and Learning Vector Quantization.

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Some Theoretical Aspects of the Neural Gas Vector Quantizerter is not equivalent to an inverse temperature like in the deterministic annealing vector quantizer introduced by K. Rose et al. Instead, an annealed variant of neural gas can be obtained using the formalism proposed by T. Heskes for self-organizing maps.

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