Lacoally weighted Regression source code

强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei

Locally weighted regression (LWR) is a memory-based method that performs a regression around a point of interest using only training data that are ``local to that point. One recent study demonstrated that LWR was suitable for real-time control by con