1.
When creating DEM, we always encounter numerous discrete data points which make ransacking all points difficult.
在建立数字高程模型时,往往会遇到海量的离散数据点,造成遍历数据点的困难。
2.
A parameterized spatial surface has been constructed from3 dimensional scattered data, and upon it the5 axis trace for laser processing can be laid out.
将三维离散数据点集拟合为空间参数曲面,在此参数曲面上规划五轴激光加工的等距轨迹。
3.
D Shape Division Based on K-nearest Neighbors Extraction
基于k邻域离散扩张的点云数据分割
4.
An Algorithm of Generating Unstructured Tetrahedrons from 3D Discrete Points
一种三维离散点数据生成非结构四面体算法
5.
Multi-scale feature points detection and local region spectral descriptor for matching unorganized points data
基于多尺度特征点识别与局部谱特征的离散数据匹配
6.
The degree of scatter of data, usually about an average value, such as the median.
离中趋势，离散度数据的离散度，常指大约平均值，如中位数
7.
Discrete data, on the other hand, has no inherent order.
另一方面，离散数据没有内在次序。
8.
The Research of Data Mining Based on BOM of Dispersed Manufacture;
基于离散制造业BOM的数据挖掘研究
9.
Rough sets based discretization algorithm for interval data processing
基于粗糙集的区间型数据离散化算法
10.
An Improved Surface Reconstruction Algorithm from Scattered Points-Based Voronoi Diagrams
利用Voronoi图改进离散数据重构曲面算法
11.
The Auto-Classification of Unorganized Points in Surface Reconstruction;
散乱数据曲面重构中数据点的自动分类研究
12.
Frequency-supervised-breakpoint based discretization algorithm
连续属性的频数监督断点离散化技术
13.
Fitting Conic to Scattered Data in a Plane
平面上散乱数据点的二次曲线拟合
14.
A New Method for Planar Curve Reconstruction from a Set of Scattered Points;
平面散乱数据点集曲线重构的新方法
15.
The Research on Post-Processing Technology of Large Scaled Scattered Point Cloud
大规模散乱点云数据后处理技术研究
16.
Dispersion refers to the spread of the data, that is the extent to which the observations are scattered.
离散性是指数据的分散程度，即观察值散布的范围。
17.
Discrete data is not necessarily homogeneous, and discrete selection is not necessarily contiguous.
离散数据不一定是同一类的，离散选择也不一定是连续的。
18.
Research on Surface Modeling and NC Tool Path Base on Scatter Points
散乱数据点曲面造型与数控加工刀位轨迹研究