K-Means Clustering From Scratch in Python (Mathematical)

this is great, thank you. it feels good to understand something and be a little closer to understanding machine learning or how to use it properly.

Slowly becoming a Machine Learning Engineer through the knowledge shared by NeuralNine. Thank you G❤

Thank you very much!

Thanks!

Thank you sir

Hi, thanks for your comprehensive explanation. I want to use cosine distance as metric instead of Euclidean distance. could you please guide me? shoud we just change the part of code which calcaulates Euclidean distance or also other changes need?

Thanks for the great video! Regarding the centroid initialization, could it be that you’re encountering an issue with the range of values for the wrong axis? For instance, if the x-axis has a range of [-3: 3] and the y-axis has a range of [-1000: 1000], a centroid could potentially end up with coordinates like [-800, 200]. Is that correct, or did I miss something?

really interesting

your explanation is great. but i want to ask, what if we want to know what data is move to different cluster. like at first the data is in 0 cluster but then after that it's move to the other group. how do we know the number of data that is move to another cluster?

I'm glad I found this tutorial!