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Related Questions
- What are the assumptions required for the Silhouette score to be a reliable measure of clustering quality?
- How does the Silhouette score handle clusters with varying densities?
- What are some common limitations of the Silhouette score in evaluating clustering algorithms?
- Can the Silhouette score be used to compare the performance of different clustering algorithms?
- How does the Silhouette score handle noise or outliers in the data?
- What are some alternative metrics that can be used in conjunction with the Silhouette score for a more comprehensive evaluation?
- Can the Silhouette score be used to evaluate clustering results on high-dimensional data?
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