In the context of K-Means clustering, what challenges may arise with poorly initialized centroids?
- Faster convergence
- No convergence
- No effect on clustering
- Suboptimal clustering, Slow convergence
Poorly initialized centroids in K-Means may lead to suboptimal clustering and slow convergence. If the centroids are initialized very poorly, it might even cause the algorithm to get stuck in local minima.
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