An algorithm in unsupervised machine learning can independently look for patterns, similarities, and differences in unlabeled data, organizing it into categories like sorting cats and dogs in images.
Unsupervised learning is particularly helpful for exploring and categorizing data when the user is unsure of what they are searching for, providing valuable insights in these situations.
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