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Related Questions
- How does the choice of distance metric affect the clustering structure in hierarchical clustering?
- What are the implications of using different distance metrics on the determination of the optimal number of clusters in hierarchical clustering?
- Can you explain how the Euclidean distance metric compares to the Manhattan distance metric in terms of clustering outcomes in hierarchical clustering?
- How does the selection of a distance metric impact the stability of cluster assignments in hierarchical clustering?
- What role does the distance metric play in determining the optimal number of clusters in hierarchical clustering when dealing with high-dimensional data?
- Can you discuss the trade-offs between using a distance metric that emphasizes Euclidean distance versus one that emphasizes topological similarity in hierarchical clustering?
- How does the choice of distance metric influence the interpretation of cluster boundaries and cluster membership in hierarchical clustering?
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