NLP, Python, Scikit Learn.
vectorizer.fit_transform(x_train).todense() Applying the OPTICS algorithm with one parameter gives the following results: model = OPTICS(min_samples=10).fit(np.array(x_train)) print(model.get_params()) #{'algorithm': 'auto', 'cluster_method': 'xi', 'eps': None, 'leaf_size': 30, 'max_eps': inf,