midScikit-Learn
What is KMeans clustering?
Updated May 17, 2026
Short answer
KMeans groups data into clusters based on similarity.
Deep explanation
It assigns points to nearest centroid and updates centroids iteratively.
Real-world example
Used in customer segmentation.
Common mistakes
- Choosing wrong number of clusters.
Follow-up questions
- How to choose K?
- Is KMeans deterministic?