datafold: data-driven models for point clouds and time series on manifolds

Python Jupyter Notebook Submitted 20 May 2020Published 14 July 2020
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Editor: @dfm (all papers)
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Authors

Daniel Lehmberg (0000-0002-4012-5014), Felix Dietrich (0000-0002-2906-1769), Gerta Köster (0000-0002-3369-6206), Hans-Joachim Bungartz

Citation

Lehmberg et al., (2020). datafold: data-driven models for point clouds and time series on manifolds. Journal of Open Source Software, 5(51), 2283, https://doi.org/10.21105/joss.02283

@article{Lehmberg2020, doi = {10.21105/joss.02283}, url = {https://doi.org/10.21105/joss.02283}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {51}, pages = {2283}, author = {Daniel Lehmberg and Felix Dietrich and Gerta Köster and Hans-Joachim Bungartz}, title = {datafold: data-driven models for point clouds and time series on manifolds}, journal = {Journal of Open Source Software} }
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data-driven models manifold learning point cloud time series dynamic mode decomposition dynamical system

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