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Related Questions
- What are the scenarios where hierarchical clustering is more suitable than k-means clustering?
- Can you explain the main assumption of k-means clustering and how it differs from hierarchical clustering?
- How do the algorithms handle noise and outliers in datasets?
- What is the typical use case for k-means clustering versus hierarchical clustering?
- Can you describe the limitations of k-means clustering, especially when dealing with irregularly shaped clusters?
- How do hierarchical and k-means clustering compare in terms of scalability to large datasets?
- What are the differences in interpreting the results of hierarchical versus k-means clustering?
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