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Related Questions
- How does the Silhouette score relate to the number of clusters in a dataset?
- What are the assumptions made when using the Silhouette score to determine the optimal number of clusters?
- Can the Silhouette score be used with all clustering algorithms, or are there specific algorithms that are more suitable?
- How does the Silhouette score handle overlapping clusters or noisy data?
- What are the potential pitfalls of relying solely on the Silhouette score to determine the number of clusters?
- Can the Silhouette score be used in conjunction with other methods, such as the elbow method or visual inspection, to determine the optimal number of clusters?
- Are there any specific datasets or domains where the Silhouette score is particularly well-suited or poorly suited for determining the number of clusters?
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