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Related Questions
- What are some common data preprocessing techniques used to reduce the effect of outliers on the Silhouette score in clustering?
- How can normalization or standardization of features help minimize the impact of outliers on the Silhouette score?
- Can you explain the concept of outlier robust clustering methods and how they differ from traditional clustering algorithms in terms of handling outliers and Silhouette score?
- What is the effect of feature scaling on the Silhouette score in the presence of outliers?
- Can you describe any outlier detection methods that can be used to identify and remove outliers before computing the Silhouette score?
- How does the choice of clustering algorithm impact the Silhouette score when dealing with outliers?
- Are there any heuristics or rules of thumb for deciding when to use outlier robust clustering methods versus traditional clustering algorithms for a given dataset?
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