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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...
On the base of FCM arithmetic which is in existence, in order to get the preferable separating effect, we bring forward an adaptive algorithm for the weight of the feature weighted of FCM which founds on the feature contribution balance principle and the most separate degree principle of intra-cluster. The arithmetic avoids each feature of the feature data originated can't be compared non-comparatives...
The Zernike moment of the handwritten numerals is screened by the random variable correlation coefficient in statistics. We make use of the fuzzy C-mean cluster induction of the hand-written numerals based on the screened Zernike moment. The example testified this method effective, and provides the theory basis for further establishment of the hand-written numeral recognition standard library. In...
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