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Related Questions
- What are the key differences between Euclidean and Manhattan distance metrics in clustering?
- How does the choice of distance metric affect the clustering results in terms of cluster compactness and separation?
- Can you explain the impact of using cosine similarity as a distance metric in clustering?
- What are the implications of using a non-Euclidean distance metric, such as Minkowski distance, in clustering?
- How does the choice of distance metric influence the stability of clustering results?
- Can you discuss the relationship between distance metric choice and the number of clusters in a clustering algorithm?
- What are the computational considerations when choosing a distance metric for clustering, and how do they impact the silhouette coefficient?
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