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Related Questions
- How does the silhouette score handle imbalanced datasets?
- What are the implications of having a large number of outliers on the silhouette score's accuracy?
- Can outliers in the dataset affect the stability of the silhouette score across multiple runs of the algorithm?
- How does the presence of noise in the data impact the interpretation of the silhouette score?
- Are there any techniques to preprocess the data to mitigate the effects of noise on the silhouette score?
- Can the silhouette score be used as a standalone metric to detect outliers in a dataset?
- What is the relationship between the silhouette score and the concept of data quality in the context of clustering algorithms?
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