Comprehensive analysis of four different clustering algorithms applied to mall customer data. Each algorithm has been evaluated using multiple performance metrics to determine the optimal approach.
K-Means
Recommended
Silhouette: 0.72
Performance72%
Time: 0.045sClusters: 3
Hierarchical
Silhouette: 0.68
Performance68%
Time: 0.123sClusters: 3
DBSCAN
Silhouette: 0.58
Performance58%
Time: 0.087sClusters: 4
Gaussian Mixture
Silhouette: 0.69
Performance69%
Time: 0.156sClusters: 3
Performance Metrics Comparison
Higher silhouette and Calinski-Harabasz scores indicate better clustering
Execution Time Comparison
Time taken to complete clustering (in seconds)
Algorithm Performance Radar
Multi-dimensional comparison across key performance indicators