NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem

A thorough experimental study is carried out in order to show the behavior of the proposed approach in comparison with the state-of-the-art combination models in the One-vs-One strategy. Different classifiers from various Machine Learning paradigms are considered as base classifiers and the results obtained are contrasted with the proper statistical analysis.