1) non-convex shape
非凸形状
1.
To solve the problem that K-means clustering algorithm fails to correctly distinguish non-convex shape clusters,a clustering algorithm based on Delaunay triangulation density metric was presented.
针对K-means聚类算法无法正确识别非凸形状簇的缺陷,提出一种基于Delaunay三角剖分密度度量的聚类方法,利用Delaunay三角剖分图的最近性、邻接性等优良特性来反映数据自身特点并进行密度度量,同时以混沌优化方法实现聚类目标函数的全局优化,达到全局最小解。
2) Convex Shape Decomposition
形状凸分解
3) rib distortion
凸筋形状畸变
4) ellipse profile plate cam
椭圆形盘状凸轮
5) variable crown and shape
可变凸度和形状
6) protrusion feature
凸起形状特征
1.
Since depression features correspond to machining process, they are easy to handle during process planing and NC cutter path generation, However, it is difficult for protrusion features.
凸起形状特征在基于特征的ＣＡＤ／ＣＡＭ系统中是一种逆于切削加工生成的形状特征，在集成过程中需作必须的处理和转换。
补充资料：形状
形状
中药材的形体状态。
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