Quality + performance metrics for a clustering run.
Total number of clusters discovered.
Wall-clock computation time in milliseconds.
Number of outlier points (DBSCAN only; 0 for K-Means).
Total records that were processed.
Silhouette score ranging from -1 (poor) to 1 (excellent).
Quality + performance metrics for a clustering run.