What is the role of initialization in K-Means?
Updated May 15, 2026
Short answer
Initialization affects convergence and final clusters.
Deep explanation
Poor initialization can lead to local minima.
Real-world example
Better clustering of customer groups using k-means++.
Common mistakes
- Using purely random initialization.
Follow-up questions
- What is k-means++?
- Why important?