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Scikit-learn compatible package for archetypal analysis.

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A basic version of ADA has been implemented. This PR may conflict with PR #40. Therefore, it will not be merged until PR #40 has been integrated. Notes: - This...

Implement a direct projection onto unit simplex insted of an alternating projection. See https://math.stackexchange.com/questions/2005154/how-to-project-onto-the-unit-simplex-as-intersection-of-two-sets-optimizing-a-c

enhancement

The two example tutorials have been revised through Jupyter Notebooks, and the tutorial doc is more in-depth, per your request. I apologize again for any confusion, and thank you for...

Modify existing tutorials or create the following tutorials: - [x] Introduction to AA - [x] Visualizing results - [ ] Extensions of AA

documentation
enhancement
good first issue

Add a brief description for each optimization method, citing the article that proposed it.

documentation
enhancement
good first issue

Use https://fda.readthedocs.io/en/latest/ to implement FAA.

Implement coresets for archetypal analysis: - https://proceedings.neurips.cc/paper/2019/file/7f278ad602c7f47aa76d1bfc90f20263-Paper.pdf - https://www.researchgate.net/profile/Christian-Bauckhage/publication/221115052_Making_Archetypal_Analysis_Practical/links/02e7e5272ae59e72c0000000/Making-Archetypal-Analysis-Practical.pdf

enhancement

Implement the Frank-Wolfe algorithm proposed in https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=69a393a08b4f2b2e4868aa4f62b9421e06267f16#page=8

enhancement