To date, clustering techniques have always been oriented to solve classification and pattern recognition problems. However, some author shave applied them unchanged to construct initial models for function approximators. Nevertheless, classification and function approximation problems present quite different objectives. Therefore it is necessary to design new clustering algorithms specialized in the problem of function approximation. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
González, J., Rojas, I., & Pomares, H. (2002). Neural networks, clustering techniques, and function approximation problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 553–558). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_90
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