Summary:Talk:Dynamic Clustering/Using previous GFs as dimensions

A group of robocode enthusiasts are discussing a gun that uses kNN classification, with one of the dimensions being the last five visited GuessFactors (GFs) by the opponent. They discuss testing the gun against different movement styles of robots, including Random Movement (RM), and using various types of predictors. They also discuss the number of dimensions, data decay, and the order in which the last five GFs are fed to the gun. They consider the possibility of using a different clustering method instead of kNN, and test the gun against DrussGT's flattener, achieving comparable results to Diamond's gun. They also discuss the impact of increasing K in GFs as dimensions.

– ChatGPT