与传统的基于最大模糊熵的方法比较，本文采用的方法计算速度快和便于实时实现。

Comparing with the method based on maximal fuzzy entropy information, the new one is much faster and works well.

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该算法以最大模糊熵作为参数选取的准则，使模糊变换参数根据处理对象不同自适应选取。

This algorithm USES maximum entropy as criterion for parameters selection in the membership function, so the parameters can be decided adaptively according to different targets.

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介绍了一种新的模糊聚类方法，定义了模糊熵，提出了基于最大模糊熵的模糊聚类的方法，得到了一种新的聚类算法——GCM算法。

Fuzzy entropy is defined at first, then a new fuzzy clustering method based on maximum fuzzy entropy is proposed, that is GCM method.

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