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Related Questions
- What are the key factors to consider when selecting a distance metric for clustering, and how do they affect the clustering outcome?
- How does the choice of distance metric impact the computational complexity of clustering algorithms, and what are the implications for large-scale datasets?
- Can you explain the relationship between the distance metric and the silhouette coefficient, and how does it influence the evaluation of clustering quality?
- What are the common distance metrics used in clustering, and what are their computational advantages and disadvantages?
- How does the choice of distance metric affect the stability and robustness of clustering results, and what are the implications for real-world applications?
- Can you discuss the trade-off between computational efficiency and clustering accuracy when choosing a distance metric, and how can it be optimized?
- What are the implications of using different distance metrics on the interpretability of clustering results, and how can it be addressed?
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