least square line

基本解释

On the basis of short straight-line fitting, this dissertation uses the least-square method of curve matching to discern circle and straight line.
通过对离散点进行短线段拟合的基础上，再利用曲线拟合的最小二乘法对圆和直线进行二次拟合。
Based on visualization techniques, the visualized design for its two endpoints link line algorithm, Least Square Algorithm and the improved mini- mum zone algorithm was implemented.
基于可视化技术，对其两端点连线算法、最小二乘算法和改进的最小区域算法进行了可视化设计；
The general and specific characteristics of three methods for straight line fitting, including three-group average, segment optimum slope average and linear least square method, were discussed.
对等分三组平均法、分段最佳斜率平均法和线性最小二乘法这三种线性拟合方法所具有的共性和个性进行了探讨。