What challenges might you face when determining the number of clusters in K-Means?
- Choosing the Optimal Number of Clusters
- Computational Complexity
- Noise Handling
- Overfitting
Determining the optimal number of clusters in K-Means can be challenging as there is no definitive method to find the right number; various techniques like the Elbow method can be used, but they might not always provide a clear-cut answer.
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