Seppo Smolander

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A method for constructing classiication features with unsupervised learning is presented. The method is based on clustering of the high dimensional measurements into a small number of features with self-organizing maps. The histograms of the self-organized features are classiied with a multilayer perceptron network, that can pick up the relevant features(More)
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