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K-means clustering integration #131

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K-means clustering integration #131

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a-keshav
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@a-keshav a-keshav commented Feb 9, 2024

I have implemented the K-means clustering functionality using the Clustering.jl package, with the difference being that a DataFrame (n x d, where d is the dimension of the data, i.e., number of variables, and n is the number of samples) can be directly passed as the argument to the fit function.

@sourish-cmi
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@ShouvikGhosh2048 @ayushpatnaikgit -- looks like this is a good PR. Can you please run a test and check on your side?

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