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Related Questions
- What is the effect of noisy data on clustering algorithm performance?
- How does the Silhouette score adjust when dealing with data points that have a low density?
- Can the Silhouette score be used to identify clusters with a mix of high and low density points?
- How does the Silhouette score handle overlapping clusters with varying densities?
- What is the relationship between the Silhouette score and the number of clusters in a dataset?
- Can the Silhouette score be used to detect clusters with varying densities and shapes?
- How does the Silhouette score handle noisy or missing data points in a cluster?
- What is the optimal value of the Silhouette score for evaluating cluster quality?
- Can the Silhouette score be used for hierarchical clustering?
- How does the Silhouette score handle clusters with different numbers of data points?
- Can the Silhouette score be used for k-means clustering?
- What are the limitations of using the Silhouette score for evaluating cluster quality?
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