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Related Questions
- How does the silhouette score take into account the density and separation of clusters in a dataset?
- What are some common issues that can lead to a poor silhouette score, and how can they be addressed?
- Can the silhouette score be used as a standalone measure for evaluating cluster quality, or should it be combined with other metrics?
- How does the choice of distance metric used in the silhouette score impact the accuracy of the results?
- What is the relationship between the number of clusters and the mean silhouette coefficient in a dataset?
- Can the silhouette score be used to determine the optimal number of clusters in a dataset, or is it more of a validation metric?
- How does the presence of noise or outliers in the dataset affect the accuracy of the silhouette score?
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