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Fuzzy c-mean algorithm is sensitive to the initial value and its result is easy to fall into the partial minimum. Thus, two-stage fuzzy c-mean cluster algorithm is proposed. Firstly to estimate the classified number and the initial cluster center through the similar entropy(satisfies similarity and nearness), secondly carries on the cluster again through the fuzzy c-mean algorithm, finally use the...
A technique is presented for feature extraction of a waveform y based on its Tauberian approximation, that is, on the approximation of y by a linear combination of appropriately delayed versions of a single basis function x, i.e., y(t) = ??M i = 1 aix(t - ??i), where the coefficients ai and the delays ??i are adjustable parameters. Considerations in the choice or design of the basis function x are...
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