Titlebook: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization; Proceedings of the 1 Alfredo Vellido,Kar

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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization978-3-030-19642-4Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Jürgen Bokowski,Bernd SturmfelsThis paper introduces representations and measurements for revealing the inner self-organization that occurs in a 1D recurrent self-organizing map. Experiments show the incredible richness and robustness of an extremely simple architecture when it extracts hidden states of the HMM that feeds it with ambiguous and noisy inputs.

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Look and Feel What and How Recurrent Self-Organizing Maps LearnThis paper introduces representations and measurements for revealing the inner self-organization that occurs in a 1D recurrent self-organizing map. Experiments show the incredible richness and robustness of an extremely simple architecture when it extracts hidden states of the HMM that feeds it with ambiguous and noisy inputs.

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https://doi.org/10.1007/978-3-030-19642-4Computational Intelligence; Intelligent Systems; LVQ; Learning Vector Quantization; SOM; Self-Organizing

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