Unsupervised Learning

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).