K-Means Iteration: Repeating Until Centroids Converge
mdancho84 · x · 2026-08-30
- Step: The assignment and update steps are repeated.
- Stopping Condition: Until the centroids no longer change significantly, indicating that the clusters are as good as stable.
- Objective: This process minimizes the within-cluster variance.
Related event: K-Means clustering: how it works and how to evaluate it(4 posts)→
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