DBSCAN Algorithm
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Dataset Description The dataset contains 5,000 customer observations collected from a simulated retail company. Each observation represents one customer described by demographic, financial, and purchasing characteristics. The data were generated to contain several dense customer groups together with a small proportion of outliers, making the dataset particularly suitable for demonstrating the strengths of the DBSCAN algorithm. Variable Description CustomerID Unique customer identifier Annual Income Annual income (thousand USD) SpendingScore Customer spending score (1–100) Age Customer age (years) Online Purchases Number of online purchases Store Visits Number of visits to physical stores LoyaltyScore Customer loyalty score (0–100) Credit Score Customer credit score (450–850)
