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Related Questions
- How does the Silhouette score account for data points that are noise or outliers in the clustering process?
- Can the Silhouette score be influenced by the presence of outliers in the data?
- In what ways can outliers impact the Silhouette score's ability to accurately represent cluster quality?
- How does the Silhouette score handle clusters with varying densities and the presence of noise?
- Are there any specific techniques for preprocessing data to minimize the impact of outliers on the Silhouette score?
- Can the Silhouette score be used to identify clusters with high densities and separate them from noise or outliers?
- What are the implications of ignoring outliers when using the Silhouette score for cluster evaluation?
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