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Volumn 34, Issue 1, 2008, Pages 502-510

Variable selection in clustering for marketing segmentation using genetic algorithms

Author keywords

Clustering algorithms; Genetic algorithms; Marketing segmentation; Variables selection

Indexed keywords

CUSTOMER SATISFACTION; DATA ACQUISITION; DECISION MAKING; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MARKETING;

EID: 34248587902     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.09.039     Document Type: Article
Times cited : (48)

References (27)
  • 3
    • 0034148454 scopus 로고    scopus 로고
    • Customer satisfaction cues to support market segmentation and explain switching behavior
    • Athanassopoulos A.D. Customer satisfaction cues to support market segmentation and explain switching behavior. Journal of Business Research 47 3 (2000) 191-207
    • (2000) Journal of Business Research , vol.47 , Issue.3 , pp. 191-207
    • Athanassopoulos, A.D.1
  • 4
    • 0036798199 scopus 로고    scopus 로고
    • An evolutionary technique based on k-means algorithm for optimal clustering in RN
    • Bandyopadhyay S., and Maulik U. An evolutionary technique based on k-means algorithm for optimal clustering in RN. Information Sciences 146 4 (2002) 221-237
    • (2002) Information Sciences , vol.146 , Issue.4 , pp. 221-237
    • Bandyopadhyay, S.1    Maulik, U.2
  • 5
    • 0036604864 scopus 로고    scopus 로고
    • Genetic clustering for automatic evolution of clusters and application to image classification
    • Bandyopadhyay S., and Maulik U. Genetic clustering for automatic evolution of clusters and application to image classification. Pattern Recognition 35 6 (2002) 1197-1208
    • (2002) Pattern Recognition , vol.35 , Issue.6 , pp. 1197-1208
    • Bandyopadhyay, S.1    Maulik, U.2
  • 7
    • 0346438838 scopus 로고    scopus 로고
    • Evaluating the appropriateness of market segmentation solutions using artificial neural networks and the membership clustering criterion
    • Boone D.S., and Roehm M. Evaluating the appropriateness of market segmentation solutions using artificial neural networks and the membership clustering criterion. Marketing Letters 13 4 (2002) 317-333
    • (2002) Marketing Letters , vol.13 , Issue.4 , pp. 317-333
    • Boone, D.S.1    Roehm, M.2
  • 9
    • 0036479162 scopus 로고    scopus 로고
    • A simulated annealing heuristic for a bicriterion partitioning problem in marketing segmentation
    • Bursco M.J., Cradit J.D., and Stahl S. A simulated annealing heuristic for a bicriterion partitioning problem in marketing segmentation. Journal of Marketing Research 39 1 (2002) 99-109
    • (2002) Journal of Marketing Research , vol.39 , Issue.1 , pp. 99-109
    • Bursco, M.J.1    Cradit, J.D.2    Stahl, S.3
  • 10
    • 0038729375 scopus 로고    scopus 로고
    • Multicriterion clusterwise regression for joint segmentation settings: an application to customer value
    • Bursco M.J., Cradit J.D., and Stahl S. Multicriterion clusterwise regression for joint segmentation settings: an application to customer value. Journal of Marketing Research 40 2 (2002) 225-234
    • (2002) Journal of Marketing Research , vol.40 , Issue.2 , pp. 225-234
    • Bursco, M.J.1    Cradit, J.D.2    Stahl, S.3
  • 20
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan G.W., and Cooper M.C. An examination of procedures for determining the number of clusters in a data set. Psychometrika 50 2 (1985) 159-179
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 21
    • 33847457966 scopus 로고
    • An examination of the effect of six types of error perturbation on fifteen clustering algorithms
    • Milligan G.W. An examination of the effect of six types of error perturbation on fifteen clustering algorithms. Psychometrika 45 3 (1980) 325-342
    • (1980) Psychometrika , vol.45 , Issue.3 , pp. 325-342
    • Milligan, G.W.1
  • 22
    • 0030189865 scopus 로고    scopus 로고
    • In search of optimal clusters using genetic algorithms
    • Murthy C.A., and Chowdhury N. In search of optimal clusters using genetic algorithms. Pattern Recognition Letters 17 8 (1996) 825-832
    • (1996) Pattern Recognition Letters , vol.17 , Issue.8 , pp. 825-832
    • Murthy, C.A.1    Chowdhury, N.2
  • 24
    • 34248535049 scopus 로고    scopus 로고
    • Sarle, W.S. (1983). Cubic clustering criterion, SAS Technical Report A-108, Cary, NC: SAS Institute Inc.
  • 25
    • 33845665086 scopus 로고
    • Product differentation and market segmentation as an alternative marketing strategy
    • Smith W.R. Product differentation and market segmentation as an alternative marketing strategy. Journal of Marketing 21 1 (1956) 3-8
    • (1956) Journal of Marketing , vol.21 , Issue.1 , pp. 3-8
    • Smith, W.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.