K-Means Clustering From Scratch in Python (Mathematical)
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Top Comments (10)
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.
I take random points from my data as initial centroids, less computations since you only need the set a random integers for indices.
Slowly becoming a Machine Learning Engineer through the knowledge shared by NeuralNine. Thank you G❤
Thx_.
I don't understand why there's a [0] after we find the means of the points. Don't we need a 1D array, not just a single element?
Thank you sir
Thanks!
really interesting
Thank you very much!
I'm glad I found this tutorial!
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Top Comments (10)
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.
I take random points from my data as initial centroids, less computations since you only need the set a random integers for indices.
Slowly becoming a Machine Learning Engineer through the knowledge shared by NeuralNine. Thank you G❤
Thx_.
I don't understand why there's a [0] after we find the means of the points. Don't we need a 1D array, not just a single element?
Thank you sir
Thanks!
really interesting
Thank you very much!
I'm glad I found this tutorial!