Clustering groups similar items without predefined labels: segmenting customers by behavior, grouping support tickets by theme, organizing documents by topic. E
Grouping similar items without predefined labels, segmenting customers by behavior, grouping support tickets by theme, organizing documents by topic. Embeddings supercharged it: clustering semantic vectors finds meaning-based groups that keyword methods missed.
A standard workflow clusters the embeddings first, then has an LLM name and describe each cluster. That turns raw grouping into readable insight, so analysts get labeled, explained segments rather than anonymous numbered groups.