Results Fuzzy K means clustering algorithm can segment white matter, gray matter and CSF better from the MR head images.

结果模糊K- 均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、 白质和脑脊液。

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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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For increasing classifiers classification rate, We make use of the fuzzy theories to K-means algorithm again.

基于K -均值算法的模糊分类器具有很好的分类效果，用它可以很准确的对训练样本进行分类。

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For increasing classifiers classification rate, We make use of the fuzzy theories to K-means algorithm again.

基于K -均值算法的模糊分类器具有很好的分类效果，用它可以很准确的对训练样本进行分类。

youdao