This work introduces a new fuzzy c-regression models with various loss functions. The algorithm consists in solving a sequence of weighted quadratic minimization problems where the weights used for the next iteration depend on values of models residuals for the current iteration. Simulations on real-life ECG signals are realized to evaluate the performance of the fuzzy clustering method.
CITATION STYLE
Momot, A., Momot, M., & Leski, J. M. (2014). An application of fuzzy c-regression models to characteristic point detection in biomedical signals. In Advances in Intelligent Systems and Computing (Vol. 242, pp. 257–263). Springer Verlag. https://doi.org/10.1007/978-3-319-02309-0_27
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