I\'m looking for an algorithm to find the best fit between a cloud of points and a sphere.
That is, I want to minimise
where C is the centre
The linked thesis contains a problem : it doesn't handle noise properly and overestimates the radius. (Centre is OK). It looks like it should be possible to come up with a correction based upon the estimate of the applied noise.