APPLICATION OF CLUSTERING METHOD IN THE RBF NEURAL NETWORKS

Pēteris Grabusts

Abstract


This paper describes one of classification algorithms, cluster analysis, that plays a significant role in the implementation of learning algorithm as applied to RBF-type artificial mural networks. The mathematical description of the K-means clustering algorithm is given and its implementation is demonstrated by experiment.

Keywords


RBF neural network; clustering; K-means

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References


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DOI: http://dx.doi.org/10.17770/etr2001vol1.1928

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