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Related Questions
- What are the key characteristics of silhouette plots and how do they relate to clustering evaluation?
- Can you explain how the silhouette score ranges from -1 to 1, and what values indicate well-separated clusters?
- In high-dimensional data, how can the results of silhouette plots be used to validate the choice of clustering algorithm?
- What are some common limitations of using silhouette plots for evaluating clustering performance in high-dimensional data?
- How does the choice of metric affect the silhouette score, and what metrics are commonly used for silhouette plots?
- Can you provide examples of when silhouette plots may not accurately reflect the true cluster structure in high-dimensional data?
- What are some alternative methods for evaluating clustering performance in high-dimensional data, and how do they complement silhouette plots?
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