[ ] from sklearn.clustex import kMeans \# Define the expected number of clusters (k) k=4 Initialize KMeans with the expected number of clusters kmeans = KMeans (n_clusters =k, randon_state =123) * Fit the model to the TF-IDF matrix kmeans.fit(tfidf_matrix) - Get the eluster ansignments for each document cluster_assignments = kmeans. labeln_ * print(cluster_assignments) [1111111113111111111111111111112111013 3. (b) (3) Does the KMeans clustering solution assign the expected cluster memberships to the documents? Explain. Double-click (or enter) to edit