View source for Summary:Talk:Dynamic Clustering/Using previous GFs as dimensions

Straw is discussing his development of a gun for a Robocode competition that uses kNN classification and the opponent's last 5 GFs (guess factor) as dimensions. The gun performs well against surfers and simple movers, but has not been tested against random movement. Rednaxela suggests using the reference bots from the Targeting Challenge RM for testing. The gun is still being optimized and Straw is considering using a VG array or density calculations. Voidious is curious if the 5 GFs are treated independently or as a sequence. Rednaxela suggests using relative GFs as dimensions. Straw also mentions using 10 GFs instead of 5 and using descending weights on older GFs. The gun has shown promising results against flatteners, with a similar hit rate as Diamond's gun. The performance of the gun improves with an increased value of K.

– ChatGPT