Gaussian Mixture Models (GMM) Explained

[@datamlistic]

Video to the Multivariante Gaussian Distribution: ruclips.net/video/UVvuwv-ne1I/видео.html

[@pawewozniak842]

I wrote my thesis on the application of GMM and I can confirm that this video is high quality.

[@Cam-lh7nr]

I wrote my thesis on application of gaussian mixture models, and I still have no clue what they are lol

[@cupckae1]

@@Cam-lh7nr 😆

[@mrtruman4339]

Underrated video. You explained it so well and intuitively, thank you!

[@datamlistic]

Many thanks! I am happy you found the explanation helpful! :)

[@Hateusernamearentu]

I like the definition on the formula at 3:45. Everything is so clear this way. Thanks!!!!!!

[@datamlistic]

Happy to hear that! :)

[@nilau8463]

Thank you, I had a rough idea of the concept and this gives me a better foundation to understand topics based on it.

[@datamlistic]

You're welcome! Happy to hear that this video helped you! :)

[@nicolo.lazzaro]

Perfect refresher! Very concise and understandable, thank you

[@datamlistic]

Thanks! Glad it was helpful! :)

[@philumen948]

Very good and concise explanation, thank you!

[@datamlistic]

Thanks! Glad it was helpful! :)

[@Kevin-jz9bg]

This was so clearly explained! 🌟

[@datamlistic]

Thanks! Glad it was helpful! :)

[@ZehongWang]

Understandable video. Thanks for your sharing!

[@datamlistic]

Thanks! Glad you liked it!

[@md.salahuddinparvez6578]

Short and precise. Thank you

[@datamlistic]

Glad it was helpful! :)

[@keagle187]

Amazing explanation

[@datamlistic]

Thanks for the feedback! I am happy you found the explanation helpful! :)

[@mustafizurrahman5699]

Superb amazing

[@kruan2661]

You sort me out!

[@datamlistic]

You're welcome! :)

[@shubhamkapoor8756]

can we still do this process if the first distribution is having 63 x 1 element and other distribition is 777x1 elements

[@datamlistic]

Why not? If I understood correctly, you basically have 840 1D data points that come from two different distributions. You can fit a GMM on it, no issues.

[@mingqiang-wu4mv]

how to use the GMM in the kalman filter?

[@datamlistic]

Unfortunately, I'm not so familiar with the kalman filter to get into such details. :(

[@Gavino-m7h]

Can you release the code for making GMM demo animations?

[@datamlistic]

I will take a look to see if I still have the code. Anyway, it may require a little bit of refactoring since it was quite messy. I will keep you tuned! :)

[@krupt5995]

you need to calculte every element of the matrix. Why do you only mention the diagonal terms?

[@datamlistic]

Thanks for the feedback! Maybe the video is a little bit confusing since I used a 1D equation while presenting a 2D visualization. Indeed, if you go beyond 1D, the variance becomes a matrix and you need to compute all the elements in it.

[@krupt5995]

@@datamlistic how though? Do you have any source I can use? Nice video btw

[@datamlistic]

Thanks! Yes, you can take a look at the following explanation of multivariate normal distribution to get an idea of how the GMM formulas could extrapolate to multiple dimensions: ruclips.net/video/UVvuwv-ne1I/видео.html

[@Tejjqnirw]

Please add the subtitles :(

[@momoh6696]

Just look for another tutorial if you don’t understand, he’s pretty clear

[@datamlistic]

Thanks for the suggestion! I added some subtitles, it may take a while for RUclips to process them and add the timings though. They may come in-handy for other viewers as well! :)