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Related Questions
- Can high data density in clustering algorithms lead to over-clustering in datasets with non-linear relationships?
- How can the choice of distance metric affect data density and clustering outcomes?
- What are some techniques to handle high data density in clustering, such as feature scaling or dimensionality reduction?
- Can you explain the concept of 'chaining' in clustering and how it relates to high data density?
- How does the number of clusters (k) impact the data density and clustering results in high-density datasets?
- What role does data preprocessing play in mitigating over-clustering in high-density datasets?
- Can you discuss the trade-offs between different clustering algorithms in handling high data density, such as k-means vs hierarchical clustering?
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