Interpolating self-organising map (iSOM)

A new learning algorithm is presented for enhancing the scale or structure of an already trained self-organising map (SOM) without the need to re-use the original training data. Alternative methods for the insertion of these additional interpolating neurons, while still preserving the learnt topology, are presented together with two illustrative examples of the algorithm in operation