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Feb 18th, 2019
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  1. from sklearn.cluster import KMeans
  2.  
  3.  
  4. kmeans_model = KMeans(n_clusters, random_state=7).fit(embeddings)
  5. cluster_id = kmeans_model.predict(embeddings)
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