1) Local cone approximation
局部锥逼近
2) partial approximation
局部逼近
1.
With regards to Shepard method, in the paper, we present a better one based on partial approximation to fit messy data.
本文针对散乱数据拟合的shepard方法,提出了一种局部逼近的新方法。
3) local consistent fitting
局部协调逼近
4) Locally smooth approximating
局部光滑逼近
1.
In order to process the nonlinear data with high-dimensional and high complexity efficiently,and found the dimensional characteristic embedded in the source data space,the manifold learning algorithm based on Locally smooth approximating was proposed on the basis of the analysis of the typical manifold learning algorithm.
为了更高效的处理高维数、高复杂性的非线性数据,发现其嵌入在源数据空间中的本维特征,提出了基于局部光滑逼近思想的流形学习算法,通过局部线性误差逼近最小化,实现将高维数据映射到低维空间。
5) Locally linear approximating(LLA)
局部线性逼近
6) best local approximation
最佳局部逼近
补充资料：局部
一部分；非全体：～麻醉 ㄧ～地区有小阵雨。
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