A mixed-integer programming approach to the clustering problem with an application in customer segmentation : Optimization and data mining

• Published in: European journal of operational research Vol. 173; no. 3; pp. 866 - 879
• Main Authors: SAGLAM, Burcu, SALMAN, F. Sibel, SAYM, Serpil, TÜRKAY, Metin
• Format: Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier 2006
• Subjects: Applied sciences; Computer science; control theory; systems; Data processing. List processing. Character string processing; Exact sciences and technology; Mathematical programming; Memory organisation. Data processing; Operational research and scientific management; Operational research. Management science; Software; Data analysis; Segmentation; Cluster; Mixed integer programming; Data processing; Information extraction; Data mining; Clustering; Computational complexity; Mixed-integer programming; Classification; Heuristic method; Diameter; Mathematical programming