Answer:
True
Explanation:
Unsupervised learning is induced to analyze the unlabeled data. whereas patterns are identified in supervised learning but due to the availability of unlabeled data it becomes difficult to identify these patterns. Thus the unsupervised used the assumption to interpret the unlabeled data pattern.
Unsupervised learning like clustering and outlier help to identify the unlabeled data
