1) Centroid distance increment

质心距离增量
2) distance increment

距离增量
3) 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。
4) equivalent apothem increment

当量边心距增量
5) from eccentric quality

偏心质量距
6) assigning increment in accordance with distance

距离分配增量
补充资料:质心
质心 mass,centre of 质点系质量分布的平均位置。质量中心的简称。它同作用于质点系上的力系无关。设n个质点组成的质点系,其各质点的质量分别为m1,m2,…,mn。若用r1,r2,…,rn分别表示质点系中各质点相对某固定点的矢径,rc表示质心的矢径,则有rc= ![]() ![]() ![]() ![]() |
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