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scikit learn - how to find cluster center in every iteration of k-means sklearn python

How to get cluster centers for each iteration of KMeans in scikit-learn using Python.

from sklearn.cluster import KMeans
 
kmeans = KMeans(n_clusters=3, init='k-means++', max_iter=4, random_state=42)
y_kmeans = kmeans.fit(X)

print(kmeans.n_iter_)
centroid.append(kmeans.cluster_centers_)

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