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Related Questions
- What are the assumptions required for the silhouette score to be meaningful in clustering evaluation?
- How does the silhouette score handle clusters of varying densities?
- What are some common datasets where the silhouette score may not be a reliable measure of clustering quality?
- Can the silhouette score be used to compare clustering results with different numbers of clusters?
- How does the silhouette score handle noise or outliers in the data?
- What are some alternative metrics to the silhouette score for evaluating clustering results?
- Can the silhouette score be used to evaluate clustering results with high-dimensional data?
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