1) apoapse distance
远质心距
2) Telecentric and retrofocus structure
远心反远距结构
3) apoapse
远质心点
4) centroid distance
质心距离
1.
Every point in high-dimensional space was grouped into some clusters using k-means cluster algorithm,then the weightee centroid distance of every point was computed based on the start distance and centroid distance of every point.
通过建模得到该DDM的四元组数据结构,对于高维空间中的数据点,通过k平均聚类算法将数据点聚成若干类,分别计算每个点对应的始点和质心距离,得到基于加权的质心距离,并将加权的质心距离作为每个数据点的索引键值,且用基于分片的B+树建立索引,得到了该索引的创建算法。
2.
Two steps are made in HD-Tree, first for every character in high-dimensional space are grouped into T clusters using hierarchy-based cluster algorithm, then the uniform start distance and centroid distance of every characters are pre-calculated and indexed by a partition-based B+-tree.
首先将n个书法字通过层次聚类聚成若干类,然后分别计算每个字对应的统一化始点距离和质心距离,最后将两者结合生成索引键值。
3.
We used centroid distance increment matrix to extract the CT heart shape characteristics.
本文利用质心距离增量矩阵方法对CT心脏图像的区域和边缘进行统一描述,再用质心距离增量矩阵方法提取CT心脏形状特征。
5) centroids distance
质心距
1.
With several examples of single crystal structures of compounds incorporating aromatic rings,the criterion of the centroids distance of 0.
通过一些晶体结构的实例指出,目前广泛采用的质心距小于0。
6) periapse distance
近质心距
补充资料：远心
1.深远的心机。
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