Tag Archives: self organising maps

Playing around with Self Organising Maps

SOM Evolution
(Click the image to see the evolution of the SOM)

The image above was generated off 200 samples of a large data set. Sample vectors were 56-dimensional bit strings. The similarity measure used was the Hamming Distance. Brighter green represents values at a higher Hamming Distance with respect to zero.
The (very dirty) code is up at Github here.
Unrelated: I’ve been watching Leonard Susskind’s lectures on Statistical Mechanics; they’re a tour de force.