\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)

CGAL 4.8 - Principal Component Analysis

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Principal_component_analysis/linear_least_squares_fitting_points_2.cpp
// Example program for linear least squares fitting of a 2D point set
#include <CGAL/Simple_cartesian.h>
#include <CGAL/linear_least_squares_fitting_2.h>
#include <vector>
typedef double FT;
typedef CGAL::Simple_cartesian<FT> K;
typedef K::Line_2 Line;
typedef K::Point_2 Point;
int main()
{
std::vector<Point> points;
points.push_back(Point(1.0,2.0));
points.push_back(Point(3.0,4.0));
points.push_back(Point(5.0,6.0));
// fit line
Line line;
linear_least_squares_fitting_2(points.begin(),points.end(),line,CGAL::Dimension_tag<0>());
return 0;
}