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Related Questions
- How does the silhouette score handle clusters with varying densities?
- What is the impact of multiple modes in the data on clustering algorithms like K-means?
- Can you explain the effect of mode-mixing on the Silhouette score's ability to assess cluster cohesion and separation?
- How do different clustering algorithms, such as DBSCAN and K-means, handle data with multiple modes?
- What are the implications of mode-mixing on the interpretability of clustering results?
- Can you provide examples of datasets with multiple modes and how the Silhouette score would be affected by this?
- How does the Silhouette score's sensitivity to the choice of cluster number (K) change when dealing with data containing multiple modes?
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