First, the whole system was decomposed into several subsystems by adopting fuzzy k-means cluster.

首先，采用动态聚类方法，将整个系统分解为几个子系统。

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In cluster analysis, Fuzzy K-Means (FKM) algorithm is one of the most widely used methods. However, FKM algorithm is much more sensitive to the initialization, and easy to fall into local optimum.

在聚类分析中，模糊k均值算法是目前应用最为广泛的方法之一，然而该算法对初始化敏感，容易陷入局部极值点。

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Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.

最后，试验证实了图像分割办法基于云模型比该办法基于模糊凯西意味着聚类和办法基于凯西的办法。

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