NND:最近邻距
“最近邻距离”(Nearest Neighbor Distance)在学术文献和技术资料中常被简写为NND,以方便快速记录和引用。这一术语广泛应用于地理信息系统、空间分析、数据挖掘等多个领域,用于描述数据点与最近邻点之间的空间或数值距离,是一种基础而重要的度量指标。
Nearest Neighbor Distance具体释义
Nearest Neighbor Distance的英文发音
例句
- Same to the change of mean nearest neighbor distance, the Hurst exponent also changed with temperature.
- 与平均近邻原子间距一样,Hurst指数也随温度发生了变化。
- Based on the Nearest Neighbor approach, a modified Euclidean Distance retrieval algorithm is put forward by using a normalization utility function.
- 文章利用一种归一化效用函数在最近邻法原理基础上提出一种改进的欧氏距离检索算法。
- Experimental results show that using this method can effectively reduce the amount of data access and improve the nearest neighbor query performance. 2. Multi-reference-points distance mapping methods.
- 实验数据表明:使用此方法可以有效的降低数据访问量,提高K近邻查询性能。2.采用多参考点的距离映射方法方面进行改进。
- Given target's polarization information, a generalized Nearest Neighbor algorithm is proposed basing on the extended distance defined in two dimensional domain of polarization and space.
- 在获取了目标的极化信息的前提下,根据极化-几何参量综合距离提出广义最近邻数据关联算法。
- Each classifier use the nearest neighbor classification method based on dynamic time bending matching distance.
- 其中,单分类器采用了基于动态时间弯折匹配距离的最近邻分类方法。
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