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Related Questions
- What is the Silhouette score, and how is it affected by outliers in clustering algorithms?
- How does normalization of features impact the distribution of data points in a dataset?
- Can you explain the difference between feature scaling and normalization, and how they relate to outlier impact?
- What are some common techniques for normalizing or standardizing features in machine learning models?
- How does normalization of features affect the Silhouette score in k-means clustering?
- What are some strategies for handling outliers in clustering algorithms, and how does normalization fit into this process?
- Can you provide an example of a scenario where normalization of features significantly improves the Silhouette score in a clustering model?
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