Cluster analysis in industrial market segmentation through artificial neural network

被引：36
|
作者：
Kuo, RJ
Ho, LM
Hu, CM
机构：
[1] Natl Taipei Univ Technol, Dept Ind Engn, Taipei 106, Taiwan
[2] Shu Te Univ, Dept Leisure Recreat & Tourism Management, Kaohsiung 824, Taiwan
[3] Foxconn Ind PCe Prod Grp, Div Syst Informat, Hsinchu, Taiwan
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2002年 / 42卷 / 2-4期
关键词：
market segmentation; cluster analysis; Monte Carlo simulation; self-organizing feature maps; K-means;
D O I：
10.1016/S0360-8352(02)00048-7
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：391 / 399
页数：9
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