Clustering Quality Score Calculator
Evaluate clustering quality using silhouette score, Calinski-Harabasz index, Davies-Bouldin index, and Dunn index from cluster distance metrics.
Inputs
Results
Silhouette Score
0.5
Quality Assessment
Weak structure
How to Use This Calculator
- Enter the number of clusters and within-cluster sum of squares (WCSS) values.
- Set the between-cluster sum of squares for separation measurement.
- Review the silhouette score and Calinski-Harabasz index.
- Compare metrics across different values of k to identify the optimal cluster count.
- Use the elbow method on WCSS and peak silhouette score to finalize cluster selection.
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