Minimum Distance from Point to Linear Variety in Euclidean Space of the Two-Dimensional Matrices
Vladimir S. Mukha · BSU Digital Library (Belarusian State University) · 2016
This work relates to the problem of linear approximation of multidimensional statistical data.Instead of the approach of regression analysis, we want to use another approach which is to minimize of the sum of the squares of the perpendicular distances from the system of points to the approximating plane.We receive the formula of minimum distance from point to linear variety in Euclidean space of the two-dimensional matrices as a first step in solving the problem.