Unsupervised learning is the field of machine learning in which algorithms are trained on data that has not been labeled by humans. It is sometimes called "unsupervised training" or "self-organizing map." In unsupervised learning, machines are programmed to find patterns in data and make inferences about it without being told what those patterns represent.
Unsupervised learning is a type of machine learning that does not involve any human intervention (or supervision).
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