1) data set profile
数据集轮廓
2) outline data
轮廓数据
1.
Has studied the outline data take off,the components flaw three-dimensional model reconstruction with emphasis and so on key technologies.
重点研究了轮廓数据提取、零件缺陷三维模型重建等关键技术。
3) contour data extraction
轮廓数据提取
4) contour groups
轮廓集
1.
On the basis of analyzing the 3D medical images in slice-based surface reconstruction,Only the improved al- gorithm can be more accurately complete merging of the complex contour groups,and the method has good adaptability.
在分析三维医学图形切片级重建方法的基础上,指出了只有改进算法,才能更准确地完成复杂轮廓集的表面拼合,具有更好的适应性。
6) silhouette coefficient
轮廓系数
1.
First,the concept of a silhouette coefficient is introduced,and the optimal clustering number Kopt of a data set with unknown class information is confirmed by calculating the silhouette coefficient of objects in clusters under different K values.
首先引入轮廓系数的概念,通过计算不同K值下簇集中各对象的轮廓系数确定事先未知分类信息的数据集中所包含的最优聚类数Kopt;然后通过凝聚层次聚类的方法获得数据集的分布,确定初始聚类中心;最后利用传统的k-means方法完成聚类。
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条