最小圆覆盖matlab

最小圆覆盖算法的MATLAB代码如下所示：

function [center, radius] = minCircleCover(points)
    n = size(points, 1);
    center = [0, 0];
    radius = 0;
    
    for i = 1:n
        if ~isInsideCircle(points(i, :), center, radius)
            center = points(i, :);
            radius = 0;
            
            for j = 1:i-1
                if ~isInsideCircle(points(j, :), center, radius)
                    center = (points(i, :) + points(j, :)) / 2;
                    radius = norm(points(i, :) - points(j, :)) / 2;
                    
                    for k = 1:j-1
                        if ~isInsideCircle(points(k, :), center, radius)
                            [center, radius] = circumCircle(points(i, :), points(j, :), points(k, :));
                        end
                    end
                end
            end
        end
    end
end

function inside = isInsideCircle(point, center, radius)
    inside = norm(point - center) <= radius;
end

function [center, radius] = circumCircle(point1, point2, point3)
    a = point2 - point1;
    b = point3 - point1;
    c = 2 * (a(1) * b(2) - a(2) * b(1));
    d = norm(point1)^2 - norm(point2)^2;
    e = norm(point1)^2 - norm(point3)^2;
    
    center = [(b(2) * d - a(2) * e) / c, (a(1) * e - b(1) * d) / c];
    radius = norm(center - point1);
end

这段代码实现了最小圆覆盖算法，通过遍历点集中的每个点，判断是否在当前最小圆内，如果不在，则更新最小圆的圆心和半径。然后再固定一个点，找到第一个不在当前最小圆上的点，更新最小圆的圆心和半径。最后再固定两个点，找到第一个不在当前最小圆上的点，计算出通过这三个点的外接圆。这样就可以得到最小圆的圆心和半径。

请注意，这只是最小圆覆盖算法的MATLAB实现，具体的应用场景和输入数据需要根据实际情况进行调整。