A Market Segmentation System for Consumer Electronics Industry Using Particle Swarm Optimization and Honey Bee Mating Optimization

摘要: The use of information technologies in various business areas is emerging recent years. With the development technology, how to find useful existed vast data has become an important issue. most broadly discussed technique mining, which been successfully applied many fields and analytic tools. Clustering analysis tries segment into homogeneous clusters one mining methods. Market segmentation among issue companies. relies on clustering a huge set. In this study, we propose system integrated particle swarm optimization honey bee mating Simulations for benchmark test functions show that our proposed method possesses better ability global optimum than other well-known algorithms. results through PSHBMO can effectively solution, extend application market solve RFM model.