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Each of those selected clustering algorithms can be fit using cosine distances in scikit-learn: from sklearn.cluster import DBSCAN, MeanShift, OPTICS from sklearn.metrics.pairwise import cosine_distances # Define clustering algorithms algorithms = [DBSCAN, MeanShift, OPTICS] # Placeholder for results results = dict.fromkeys((a.__name__ for a in algorithms)...


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