why I have this problem

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Hi!

Can you send me the code in a direct message and I’ll take a look.

from your code above, i guess you need to put normalize distance into distance list and then find minimum distance.

something like:

for j in range(X.shape[0]):

distance =

for j in range(centroids.shape[0]):

norm_ij = np.linalg.norm[(X[i] - centroids[0])

distance.append(norm_ij)

idx[i]= np.argmin(distance)

return idx