The Spherical Self-Organizing Feature Maps is a contemporary technique for data clustering and visualization.
The main advantages they offer are the following:
1. Smooth training
2. Implementation in arbitrary dimension without additional computational cost.
3. Data visualization in arbitrary dimensions
This toolbox contains a set of functions and a GUI which can be used to create glyphs from spherical Self-Organizing Feature Maps (SOFMs). It is freely distributable for educational and research purposes.
% loads the data to be visualized
%loads the S-SOFM structure
%trains the S-SOFM
% plots the S-SOFM