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Surface reconstruction and structure representation from unorganized sample points are key problem in many applications for whose neural networks are starting a slight breakthrough. In this framework, we propose an original neural network architecture inspired from Kohonen's self-organizing maps, based on an adaptive learning process applied to a(More)
Data clustering is useful for discovering significant patterns and characteristics in large datasets. In this paper, we address the problem of clustering the Poincare vectors. Three variants of the k-means algorithm and a competitive neural technique are tested and compared. The empirical performance of the different methods in terms of classification and(More)
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