approximation method in statistics
The result of fitting a set of data points with a quadratic function Conic fitting a set of points using least-squares approximation
In regression analysis, least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—the differences between observed values and the values predicted by the model.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).