In machine learning, unsupervised learning is a paradigm that involves training an algorithm on an unlabeled dataset. So there's no supervision or labeled outputs.
In unsupervised learning, the goal is to discover patterns, structures, or relationships within the data itself, rather than predicting or classifying based on labeled examples. It involves exploring the inherent structure of the
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