How does ANN (Approximate Nearest Neighbor) search support large-scale clustering?

ANN reduces computation cost of nearest neighbor search using approximations.

In large-scale clustering or embedding retrieval, exact nearest neighbor search is expensive (O(n)). ANN methods like HNSW, FAISS, and LSH trade small accuracy loss for massive speed gains. These are critical in billion-scale clustering and recommendation systems.