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Related Questions
- What are the implications of using different distance metrics (e.g., Euclidean, Manhattan, Minkowski) on the silhouette score in clustering analysis?
- Can the silhouette score be affected by the choice of metric when dealing with high-dimensional data?
- How does the choice of metric impact the silhouette score in the presence of outliers or noisy data?
- Under what conditions does the silhouette score become sensitive to the choice of metric?
- Can the silhouette score be affected by the choice of metric when comparing clusters of different densities?
- How does the choice of metric influence the silhouette score in the context of multi-modal data?
- What are the scenarios where the silhouette score is robust to the choice of metric?
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