Daniel M. C. Domine

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The family of adaptive resonance theory (ART) based systems concerns distinct artificial neural networks for unsupervised and supervised clustering analysis. Among them, the ART 2-A paradigm presents numerous strengths for data analysis. After a rapid presentation of the ART 2-A theory and algorithmic information, the usefulness of this neural network for(More)
A new nonlinear neural mapping (N2M) technique based on the combined use of Kohonen self-organizing map (KSOM), minimum spanning tree (MST), and nonlinear mapping (NLM) is introduced for optimal test series selection. With the N2M method, KSOM results are enhanced by the visualization of the actual distances between the loaded neurons from MST and NLM. N2M(More)
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