Question: When you don't have labeled data or a ground truth, unsupervised techniques, such as clustering, are the most commonly used. But unsupervised technique is also

When you don't have labeled data or a ground truth, unsupervised techniques, such as clustering, are the most commonly used. But unsupervised technique is also employed for data preprocessing, feature extraction, feature selection etc. Discuss the principle of unsupervised learning, its applications and challenges. Provide an example area in which a type of unsupervised learning can be employed.

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