Topological Methods for Unsupervised Learning

@inproceedings{McInnes2019TopologicalMF,
  title={Topological Methods for Unsupervised Learning},
  author={Leland McInnes},
  booktitle={GSI},
  year={2019}
}
Unsupervised learning is a broad topic in machine learning with many diverse sub-disciplines. Within the field of unsupervised learning we will consider three major topics: dimension reduction; clustering; and anomaly detection. We seek to use the languages of topology and category theory to provide a unified mathematical approach to these three major problems in unsupervised learning. 
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Category Theory in Machine Learning
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