Corpus ID: 85529030

SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python

@article{Riese2019SUSISS,
  title={SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python},
  author={Felix M. Riese and Sina Keller},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.11114}
}
In many research fields, the sizes of the existing datasets vary widely. Hence, there is a need for machine learning techniques which are well-suited for these different datasets. One possible technique is the self-organizing map (SOM), a type of artificial neural network which is, so far, weakly represented in the field of machine learning. The SOM’s unique characteristic is the neighborhood relationship of the output neurons. This relationship improves the ability of generalization on small… Expand
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