A mixed-integer programming approach to the clustering problem with an application in customer segmentation.
Burcu SaglamF. Sibel SalmanSerpil SayinMetin TürkayPublished in: Eur. J. Oper. Res. (2006)
Keyphrases
- customer segmentation
- mixed integer programming
- clustering analysis
- data mining methods
- customer behavior
- column generation
- data mining
- association rule mining
- mixed integer
- lot sizing
- clustering algorithm
- k means
- clustering method
- customer relationship management
- production planning
- unsupervised learning
- fuzzy clustering
- cluster analysis
- customer service
- integer programming
- anomaly detection
- search algorithm