Objective: To discuss the best fuzzy clustering number of MRI brain images segmentation.

前言：目的探讨颅脑mri图像模糊聚类分割算法中最佳模糊聚类数。

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Ascertainable clustering number and large training sets are vital problems of spectral clustering.

自动确定聚类数和海量数据的处理是谱聚类的关键问题。

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Further more, this method can determine the best clustering number using the validity function in training progress.

同时，算法可以在训练过程中通过有效性函数自适应地确定最佳聚类数目。

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Clustering is a complex way to get higher performance and capacity from a smaller number of servers.

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