Visualization of high-dimensional data using two-dimensional self-organizing piecewise-smooth Kohonen maps
А. В. Шкловец, N. G. Axak · Optical Memory and Neural Networks · 2012
To make visualization of high-dimensional data more accurate, we offer a method of approximating two-dimensional Kohonen maps lying in a multiple-dimensional space. Cubic parametric spline-based least-defect surfaces can be used as an approximation function to minimize approximation errors.