Is there a best classifier?

John Richards

doi:10.1117/12.637223

18 October 2005 Is there a best classifier?

John Richards

Proceedings Volume 5982, Image and Signal Processing for Remote Sensing XI; 59820A (2005) https://doi.org/10.1117/12.637223
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

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.

Citation Download Citation

John Richards "Is there a best classifier?", Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59820A (18 October 2005); https://doi.org/10.1117/12.637223

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