results/experiment_summary.json

{
  "experiment_date": "2025-07-15T20:53:15.486278",
  "dataset_info": {
    "type": "synthetic_customer_data",
    "n_samples": 300,
    "n_features": 2,
    "feature_names": [
      "Age",
      "Income"
    ],
    "true_clusters": 4
  },
  "algorithms_tested": [
    "K-Means",
    "Hierarchical",
    "DBSCAN",
    "GMM"
  ],
  "files_created": {
    "models": [
      "kmeans_model.pkl",
      "hierarchical_model.pkl",
      "dbscan_model.pkl",
      "gmm_model.pkl",
      "scaler.pkl"
    ],
    "visualizations": [
      "optimal_k_analysis.png",
      "cluster_comparison.png"
    ],
    "results": [
      "algorithm_comparison.csv",
      "detailed_analysis.json"
    ],
    "data": [
      "customer_data.csv"
    ]
  },
  "key_findings": {
    "best_algorithm": "To be determined from results",
    "optimal_k": "Found using elbow method and silhouette analysis",
    "insights": "Customer segmentation reveals distinct spending patterns"
  }
}