least square line

基本解釋

On the basis of short straight-line fitting, this dissertation uses the least-square method of curve matching to discern circle and straight line.
通過對離散點(diǎn)進(jìn)行短線段擬合的基礎(chǔ)上，再利用曲線擬合的最小二乘法對圓和直線進(jìn)行二次擬合。
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.
基于可視化技術(shù)，對其兩端點(diǎn)連線算法、最小二乘算法和改進(jìn)的最小區(qū)域算法進(jìn)行了可視化設(shè)計(jì)；
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.
對等分三組平均法、分段最佳斜率平均法和線性最小二乘法這三種線性擬合方法所具有的共性和個(gè)性進(jìn)行了探討。