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    Analyzing phase transitions in high-dimensional self-organizing maps

    The self-organizing map (SOM), a widely used algorithm for the unsupervised learning of neural maps, can be formulated in a low-dimensional ‘feature map’ variant which requires prespecified parameters (‘featur...

    M. Riesenhuber, H.-U. Bauer, T. Geisel in Biological Cybernetics (1996)