Is there a best classifier?
John A. Richards · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
The question of whether there is a preferred or best classifier to use with remotely sensed data is discussed, focussing on likely results and ease of training. By appealing in part to the No Free Lunch Theorem, it is suggested that there is really no superiority of one well trained algorithm over another, but rather it is the means by which the algorithm is employed - ie. the classification methodology - that often governs the outcomes.