Self-Organizing Map with Weighted Connections avoiding false-neighbor effects

This study proposes the Self-Organizing Map with Weighted Connections avoiding false-neighbor effects (WC-SOM). We investigate the effectiveness of WC-SOM in comparison with the conventional SOM, Growing Grid and FN-SOM. We confirm that WC-SOM enables the most flexible self-organization among the four algorithms and can obtain the effective map reflecting the distribution state of the input data using fewer neurons.