Researchers extend the Inverse Square Mean Shift Algorithm to detect hidden patterns in non-homogenous image data using 3D Fourier Transform analysis

New clustering algorithm called the Inverse Square Mean Shift Algorithm is extended in this follow-up work

A specialized variant is formulated specifically for handling non-homogenous data

Three-dimensional Fast Fourier Transform applied to images to uncover hidden patterns

Research builds upon previous proposed clustering methodology with focus on frequency domain analysis