1) point cluster
群点
1.
This paper divides the spatial distribution information of point cluster into three categories : existing, metrical structure and topological structure, and focuses on the discussion of metrical structure.
群点目标隐含的空间结构化信息是空间分布分析、地图综合感兴趣的内容。
2) Outlier
离群点
1.
The Detection Methods of Outlier in Partial Least Squares Regression;
偏最小二乘回归的离群点检测方法
2.
An entropy-based algorithm to detect relative outliers:ENBROD;
基于信息熵的相对离群点的检测方法:ENBROD
3.
Outlier Detection in Sensor Networks;
传感器网络中离群点的检测
3) outliers
离群点
1.
Algorithm of outliers mining based on grid techniques in high dimension large dataset;
基于网格技术的高维大数据集离群点挖掘算法
2.
An Algorithm of Outliers Mining Based on Grid Clustering Techniques;
基于网格聚类技术的离群点挖掘算法
3.
New Approach Based on Square Neighborhood to Detect Outliers;
基于方形邻域的离群点查找新方法
4) rigid set of points
刚体群点
5) strongest outlier
强离群点
6) weak outlier
弱离群点
参考词条
补充资料:点群
见晶体的对称性。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。