A retailer wants to discover previously unknown customer segments from purchasing patterns, without predefined segment labels. Which technique is most directly relevant?

1. A language model asked to invent segments without examining the purchasing evidence.
2. Unsupervised clustering.
3. A fixed rule that assigns every customer to the same segment.
4. Supervised classification using segment labels that do not yet exist.