Unsupervised learning

PrepNuggets

In unsupervised learning, the input data are not labelled.   Rather, the machine learns to describe the structure of the data. For example, the characteristics of various companies can be fed in as inputs, and the algorithm then tries to group the companies into peer groups based on certain similarities other than the standard sector or country groupings.

Compare: Supervised learning