Clustering metrics:

Name Caracteristics of the metrics Boundary Optimum Description
Davies-Bouldin Static Badge The lower the better Internal metric based on a similarity notion between clusters.
DBCV Static Badge [-1, 1] 1 Internal metric for evaluating density-based clustering methods.
Dunn Index Static Badge The higher the better Trade-off between inter- and intra-cluster distances.
Silhouette Static Badge [-1, 1] 1 Trade-off between average inter- and intra-cluster distances.
Kolmogorov–Smirnov Static Badge [0, 1] 1 Maximum difference between two empirical CDFs; close to 1 indicates highly dissimilar distributions.
Calinski–Harabasz Static Badge [0, ∞) The higher the better Ratio of between- to within-cluster dispersion; higher values indicate well-separated dense clusters.