This study analyzes 354 questionnaires from breast cancer patients at Hassan II Hospital in Agadir, Morocco, encompassing socio-economic, genetic, and clinical variables. Our approach employs the K-means clustering algorithm to partition patients into groups based on Euclidean distance, with the optimal number of clusters determined by the Elbow method. We visualize clustering results using Principal Axis Correlation (PAC) and identify key