Learning techniques that group instances without a pre-specified dependent attribute. Clustering algorithms are usually unsupervised.

A class of machine learning algorithms designed to identify groupings of data without knowing in advance what the groups will be. See also supervised learning, reinforcement learning, clustering .

A type of machine learning in which human input and supervision are extremely limited, or absent altogether, throughout the process. In unsupervised learning, the machine is left to identify patterns and draw its own conclusions from the data sets it is given.

Unsupervised learning is a method used to enable machines to classify both tangible and intangible objects without providing the machines any prior information about the objects. The things machines n [..]