Dmitry Kobak, George Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens
https://link.springer.com/chapter/10.1007/978-3-030-46150-8_8
This is a companion repository to our ECML-2019 paper. All code for the paper is in a Python Jupyter notebook heavy-tailed-tsne.ipynb. We use this t-SNE implementation: https://github.com/KlugerLab/FIt-SNE, version 1.1.0.
For any technical questions, please start an Issue.
