Unsupervised learning

In unsupervised learning we are given an input domain $A$ with some training data $T \subset A$ which are not labelled (you may or may not be provided with an output codomain $B$) . The goal is to make some $f: A \rightarrow B$ (and $B$) that groups items that are “related” to one another given $T$.