Kohonen's Neural Network Adaptation for Selection of Useful Features
نویسندگان
چکیده
This paper examines the opportunity of Kohonen's feature map adaptation for selection of useful features in the task of clusterization of multidimensional data. Based on the biological prototype of the self-organizing map, the modified Kohonen’s map was built in the way to be able to select useful features in the task of clusterization. The neuron map based on the new training algorithm has shown its superiority over Kohonen’s map with regard to accuracy and efficiency in the experiments.
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