top of page

DBSCAN Implementation (Credit Card Spending Patterns)

Description: Density-based clustering analysis of credit card customer data to identify clusters based on spending patterns and credit behavior. Focused on identifying clusters of varying densities and shapes

Problem Statement: Required to identify natural clusters in customer data while handling noise and outliers effectively

Outcome: Successfully implemented DBSCAN algorithm, identifying meaningful customer clusters and effectively handling outliers

bottom of page