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。
Results: When fuzzy clustering number for 5-6 and fuzzy clustering validity achieved a minimum level of image processing with the best effect.
结果当模糊聚类数为5 ~ 6时，模糊聚类有效性函数最小，图像处理的效果达到最佳水平。
The optimal fuzzy association rules can be mined due to the optimal fixed clustering number that can be obtained by the relational competitive agglomeration algorithm.
由于关系数据的竞争聚集算法能得到优化的固定的聚类个数，因此能挖掘出优化的模糊关联规则。
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