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scaler.inverse_transform(pca.inverse_transform(kmeans_pca.cluster_centers_)) # Create a DataFrame for the inverse transformed cluster centers centroids_df = pd.DataFrame(original_space_centroids, columns=cereal_df_encoded.columns) # Calculate the mean of the original data and compare original_means