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In my opinion, the references to the implemented publications, such as:
- Uncertainty-Aware Principal Component Analysis,
- Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess,
- Uncertainty-Aware Multidimensional Scaling,
- Uncertainty-Aware Spectral Visualization,
- Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models,
- ...,
need to be added at least to the corresponding example Jupyter notebooks but possibly as well to the functions, e.g., uadapy/dr/uapca.py.
For a complete list of methods and their references, I would propose adding a table to the README file showing "| Method | Paper Ref |"
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