k-means clustering 均值聚类 ; K平均聚类 ; 均值 ; K均值聚类
fuzzy K means clustering algorithm 模糊K均值聚类算法
dynamic k-means clustering 动态k
weighted k-means clustering 加权k均值聚类
k-means clustering algorithm K均值聚类算法
minimum K-means clustering distance 最小K
K-means clustering method 均值聚类
fuzzy k-means clustering 模糊k ; 模糊
fuzzy K means clustering 模糊K均值聚类
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。
Given a set of vectors, the next step is to run the k-Means clustering algorithm.
创建了一组矢量之后，接下来需要运行k - Means集群算法。
This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model.
与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。
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