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Unsupervised machine learning
Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets.
Unsupervised learning uses a set of raw data and obtains a result based on the detection of similarities between some of this data.
These algorithms discover patterns or clusters of hidden data without human intervention.
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