What is the theoretical reason K-Means cannot discover hierarchical structure?

Updated May 16, 2026

Short answer

K-Means produces flat partitions and does not preserve nested cluster relationships.

Deep explanation

Hierarchical structure requires multi-level relationships, but K-Means assigns each point to exactly one cluster at one level. It does not retain parent-child relationships between clusters, unlike hierarchical clustering methods.

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