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Related Questions
- What are the implications of using different clustering algorithms on silhouette plot results for high-dimensional data?
- Can you explain how the choice of distance metric affects the clustering structure of high-dimensional data in silhouette plots?
- How does the use of different silhouette metrics, such as silhouette width or silhouette coefficient, impact the interpretation of results for high-dimensional data?
- What are some common pitfalls to avoid when selecting a metric for silhouette plots in high-dimensional data, and how can they be addressed?
- What is the relationship between the choice of metric and the number of clusters in high-dimensional data, and how does it impact silhouette plot results?
- Can you provide examples of scenarios where the choice of metric in silhouette plots has a significant impact on the results for high-dimensional data?
- How can the results of silhouette plots be used to validate the choice of metric in high-dimensional data, and what are the limitations of this approach?
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