Clustering ensembles of neural network models

@article{Bakker2003ClusteringEO,
  title={Clustering ensembles of neural network models},
  author={Bart Bakker and Tom Heskes},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2003},
  volume={16 2},
  pages={261-9}
}
We show that large ensembles of (neural network) models, obtained e.g. in bootstrapping or sampling from (Bayesian) probability distributions, can be effectively summarized by a relatively small number of representative models. In some cases this summary may even yield better function estimates. We present a method to find representative models through clustering based on the models' outputs on a data set. We apply the method on an ensemble of neural network models obtained from bootstrapping… CONTINUE READING
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