Topological Gradient-based Competitive Learning

@article{Barbiero2021TopologicalGC,
  title={Topological Gradient-based Competitive Learning},
  author={Pietro Barbiero and Gabriele Ciravegna and Vincenzo Randazzo and Giansalvo Cirrincione},
  journal={2021 International Joint Conference on Neural Networks (IJCNN)},
  year={2021},
  pages={1-8}
}
Topological learning is a wide research area aiming at uncovering the mutual spatial relationships between the elements of a set. Some of the most common and oldest approaches involve the use of unsupervised competitive neural networks. However, these methods are not based on gradient optimization which has been proven to provide striking results in feature extraction also in unsupervised learning. Unfortunately, by focusing mostly on algorithmic efficiency and accuracy, deep clustering… 
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