A New Training Method for Large Self Organizing Maps |
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Authors: | Riccardo Rizzo |
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Affiliation: | 1. Istituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Ricerche (ICAR-CNR), Viale delle Scienze c/o ed. 11, 90128, Palermo, PA, Italy
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Abstract: | Self Organizing Maps (SOMs) are widely used neural networks for classification or visualization of large datasets. Like many neural network simulations, implementations of the SOM algorithm need a scan of all the neural units in order to simulate the work of a parallel machine. This paper reports a new learning algorithm that speeds up the training of a SOM with a little loss of the performance on many quality tests. The very low computation time, means that this algorithm can be used as a fast visualization tool for large multidimensional datasets. |
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