【Key words】 mechanical parts image； contour feature； feature extraction； edge moment； horizontal tilt correction； means clustering algorithm；
基于6个网页-相关网页
Fuzzy C-Means Clustering Algorithm 模糊C均值聚类算法 ; 模糊C ; 均值聚类方法 ; 法
fuzzy K means clustering algorithm 模糊K均值聚类算法
k-means clustering algorithm K均值聚类算法
Possibilistic C-Means Clustering Algorithm 均值聚类算法
c means clustering algorithm c均值聚类算法
Moving k-means clustering algorithm 动态K
genetic K-means clustering algorithm 遗传K
improved K-means clustering algorithm 改进
Spherical K-means clustering Algorithm 球面k均值聚类算法
In the experiments,the K means clustering algorithm was used to classify the parts based on the extracted contour features,and the results proved its effectiveness.
最后,采用K均值聚类算法对提取的零件轮廓特征进行分类,实验结果证明了该方法的有效性。
参考来源 - 基于边界矩的机械零件图像轮廓特征提取技术·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
And this paper also improved the initial center point's selection of K-Means clustering algorithm.
另对聚类算法初始聚类中心的选取也做了改进。
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。
应用推荐