Space Science with Python - AI 1-14: GMMs - A good choice?

GitHub Link of today's session: https://github.com/ThomasAlbin/Astron...

Viewers! The last video of our asteroid reflectance video. Today, we will check whether a multivariate Gaussian mixture was the perfect choice for our Autoencoder based latent space ... or not.

We will take the Gaussian that corresponds to the S-Class asteroids and apply the Henze-Zirkler Test on the latent space data. Enjoy!

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How to setup a local dev environment:    • Space Science with Python - Part 2: S...  

Henze-Zirkler Test: https://pingouin-stats.org/generated/...

Pingouin: https://pingouin-stats.org/index.html

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Content
0:00 Introduction / Recap
2:00 Cell #15 - Using the S-Class asteroids
2:52 Cell #16 - GMM Probabilities
3:50 Cell #17 - S-Class / GMM Class probability distribution
4:35 Cell #18 - GMM Class larger 95 % Confidence
5:27 Cell #19 - Pingouin
8:10 Cell #20 - Henze-Zirkler Test
9:30 Summary & Outlook

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There is a lot to do and to learn and I hope you will join the journey. Meanwhile, if you have questions or ideas, reach out to me via:

Twitter:   / mrastrothomas  
Reddit:   / mrastrothomas  
GitHub: https://github.com/ThomasAlbin

Or drop a comment!

Talk to you later,
Thomas