Cluster analysis in industrial market segmentation through artificial neural network
Market segmentation has commonly applied cluster analysis. This study intends to make the comparison of conventional two-stage method with proposed two-stage method through the simulated data. The proposed two-stage method is the combination of self-organizing feature maps and K-means method. The simulation results show that the proposed scheme is better than the conventional two-stage method based on the rate of misclassification. (C) 2002 Elsevier Science Ltd. All rights reserved.
cluster analysis market segmentation self-organizing feature maps k-means monte carlo simulation