On the suitability of Prototype Selection methods for kNN classification with distributed data

@article{ValeroMas2016OnTS,
  title={On the suitability of Prototype Selection methods for kNN classification with distributed data},
  author={Jose J. Valero-Mas and Jorge Calvo-Zaragoza and Juan Ram{\'o}n Rico-Juan},
  journal={Neurocomputing},
  year={2016},
  volume={203},
  pages={150-160}
}
In the current Information Age, data production and processing demands are ever increasing. This has motivated the appearance of large-scale distributed information. This phenomenon also applies to Pattern Recognition so that classic and common algorithms, such as the k-Nearest Neighbour, are unable to be used. To improve the efficiency of this classifier… CONTINUE READING