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

页码：391 / 399

页数：9

共 23 条

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[Anonymous], MARKETING INTELLIGEN

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