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Related Questions
- What are the common distance measures used in k-means clustering, and how do they affect the stability of the results?
- How does the choice of distance measure impact the convergence of k-means clustering algorithm?
- What are the advantages and disadvantages of using Euclidean distance versus Manhattan distance in k-means clustering?
- Can you explain how the choice of distance measure affects the interpretability of k-means clustering results?
- How does the choice of distance measure impact the robustness of k-means clustering to outliers?
- What are the implications of using different distance measures on the scalability of k-means clustering algorithm?
- Can you compare the performance of k-means clustering using different distance measures on a real-world dataset?
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