Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm

Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm

Tremblay, Guillaume and Sabourin, Robert and Maupin, Patrick

Proceedings – International Conference on Pattern Recognition 2004

Abstract : In this work, the authors have evaluated almost 20 millions ensembles of classifiers generated by several methods. Trying to optimize those ensembles based on the nearest neighbours and the random subspaces paradigms, we found that the use of a diversity metric called & quot;ambiguity” had no better positive impact than plain stochastic search.