Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping

被引：93

作者：

Budayan, Cenk ^{[1
]}

Dikmen, Irem ^{[1
]}

Birgonul, M. Talat ^{[1
]}

机构：

[1] Middle E Tech Univ, Dept Civil Engn, TR-06531 Ankara, Turkey

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 09期

关键词：

Strategic groups; Traditional cluster analysis techniques; Self-organizing map; Fuzzy C-means; NEURAL-NETWORK; VALIDITY; SEGMENTATION; MANAGEMENT; ALGORITHMS;

D O I：

10.1016/j.eswa.2009.04.022

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Strategic group analysis comprises of clustering of firms within an industry according to their similarities with respect to a set of strategic dimensions and investigating the performance implications of strategic group membership. One of the challenges of strategic group analysis is the selection of the clustering method. In this study, the results of the strategic group analysis of Turkish contractors are presented to compare the performances of traditional cluster analysis techniques, self-organizing maps (SOM) and fuzzy C-means method (FCM) for strategic grouping. Findings reveal that traditional cluster analysis methods cannot disclose the overlapping strategic group structure and position of companies within the same strategic group. It is concluded that SOM and FCM can reveal the typology of the strategic groups better than traditional cluster analysis and they are more likely to provide useful information about the real strategic group structure. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：11772 / 11781

页数：10

共 63 条

[1]

[Anonymous], MATH CLASSIFICATION

[2]

[Anonymous], 1984, Cluster Analysis

[3]

[Anonymous], EC COMPETITIVE ENV A

[4]

Bacher J., 2002, CLUSTER ANAL

[5] Validity-guided (re)clustering with applications to image segmentation [J].

Bensaid, AM ;

Hall, LO ;

Bezdek, JC ;

Clarke, LP ;

Silbiger, ML ;

Arrington, JA ;

Murtagh, RF .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1996, 4 (02) :112-123

[6]

Bezdek J. C., 1981, Pattern recognition with fuzzy objective function algorithms

[7]

BUDAYAN C, 2008, THESIS MIDDLE E TU

[8]

Chen GX, 2002, STAT SINICA, V12, P241

[9]

Chiu T., 2001, P 7 ACM SIGKDD INT C, P263, DOI [10.1145/502512.502549, DOI 10.1145/502512.502549]

[10] Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy c-means [J].

Chuang, KH ;

Chiu, MJ ;

Lin, CC ;

Chen, JH .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 1999, 18 (12) :1117-1128

← 1 2 3 4 5 6 7 →