What are the key tradeoffs when using K-Means in production systems?

The main tradeoffs are simplicity vs expressiveness, speed vs robustness, and interpretability vs flexibility.

K-Means is fast, scalable, and interpretable, but assumes spherical clusters and is sensitive to initialization and outliers. In production, these tradeoffs must be balanced against business needs and data complexity.