Bagging using an Optimal Distance Metric

摘要

We experiments with bagging kNN experts using an optimal distance metric. The aim is to establish whether bagging kNN is useful when a better metric is used. Our results, on 5 data sets, indicate that both the single expert and bagging results improve due to this metric, with the exception of small learning sets. However, the improvement is not consistent for all data sets and learning set sizes.