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Related Questions
- What are the key differences between the Calinski-Harabasz index and the Silhouette coefficient in evaluating cluster quality?
- How does the Calinski-Harabasz index perform in comparison to the Davies-Bouldin index in terms of cluster separation and compactness?
- What are the limitations of the Calinski-Harabasz index in handling noisy or imbalanced datasets?
- Can the Calinski-Harabasz index be used as a standalone metric for determining the optimal number of clusters, or is it typically used in conjunction with other indices?
- How does the Calinski-Harabasz index compare to the Calinski-Harabasz index with modified density-based spatial clustering of applications with noise (DBSCAN) in terms of cluster assignment and density estimation?
- What are the computational complexities associated with calculating the Calinski-Harabasz index, and how do they compare to other internal validation indices?
- Can the Calinski-Harabasz index be used to evaluate the quality of clusters in high-dimensional data, and if so, what are the challenges and considerations involved?
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