Unsupervised Learning

A machine learning technique that finds structure in unlabeled data. One example is clustering, where the computer examines a collection of examples and groups them into categories based on perceived similarity. In a sense, the computer “discovers” the categories; they are not given to it. (If each example came labeled with its correct category, this would be supervised learning.)