NLP, Python.
DictVectorizer vectorizer = DictVectorizer(sparse=False) x_train = vectorizer.fit_transform(X['bow'].to_numpy()) Then, we create the KMains object and define its properties (8 clusters, random state set to 0). from sklearn.cluster import KMeans kmeans = KMeans(n_clusters=8, random_state=0) This