Fitting cylinders to data

摘要

The problem of fitting cylinders to data arises in science and industry. This article proves the existence of generalized cylinders–Cartesian products of generalized spheres and affine manifolds–fitted to data by using many criteria, including generalized least-squares, weighted median, and midrange regressions.