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Related Questions
- What are the characteristics of high-dimensional data that can affect the performance of clustering algorithms and evaluation metrics?
- How does the Davies-Bouldin index compare to the Silhouette coefficient in terms of its ability to identify clusters in high-dimensional spaces?
- What are the limitations of the Davies-Bouldin index in handling noise and outliers in high-dimensional data?
- Can the Davies-Bouldin index be used as a standalone metric for evaluating clustering performance, or is it more effective when combined with other metrics?
- How does the Davies-Bouldin index perform compared to the Calinski-Harabasz index in terms of its ability to identify well-separated and well-formed clusters?
- What are the computational requirements for calculating the Davies-Bouldin index, and how do they compare to other clustering evaluation metrics?
- Can the Davies-Bouldin index be adapted for use with different clustering algorithms, such as density-based or hierarchical clustering?
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