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Volumn , Issue , 2012, Pages 417-425

Discriminative clustering for market segmentation

Author keywords

discriminative clustering; market segmentation

Indexed keywords

ALTERNATING OPTIMIZATIONS; DISCRIMINATIVE CLUSTERING; GRAPHICAL MODEL; INPUT SPACE; INTERPRETABILITY; MARKET SEGMENT; MARKET SEGMENTATION; MIXTURE OF EXPERTS; NOVEL METHODS; OUTPUT VARIABLES; PREDICTION MODEL; SINGLE VARIABLE; UNIVARIATE; USER NAVIGATION;

EID: 84866039328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339600     Document Type: Conference Paper
Times cited : (17)

References (24)
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  • 7
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    • Temporal self-organizing maps for telecommunications market segmentation
    • P. D'Urso and L. D. Giovanni. Temporal self-organizing maps for telecommunications market segmentation. Neurocomput., 71:2880-2892, 2008.
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    • D'Urso, P.1    Giovanni, L.D.2
  • 9
    • 33750441470 scopus 로고    scopus 로고
    • Marketing segmentation using support vector clustering
    • J. Huang, G. Tzeng, and C. Ong. Marketing segmentation using support vector clustering. Expert systems with applications, 32(2):313-317, 2007.
    • (2007) Expert Systems with Applications , vol.32 , Issue.2 , pp. 313-317
    • Huang, J.1    Tzeng, G.2    Ong, C.3
  • 11
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    • Hierarchical clustering schemes
    • S. C. Johnson. Hierarchical clustering schemes. Psychometrika, 2:241-254, 1967.
    • (1967) Psychometrika , vol.2 , pp. 241-254
    • Johnson, S.C.1
  • 12
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the em algorithm
    • M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the em algorithm. Neural computation, 6(2):181-214, 1994.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 181-214
    • Jordan, M.1    Jacobs, R.2
  • 13
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    • An extended self-organizing map network for market segmentation - A telecommunication example
    • M. Y. Kiang, M. Y. Hu, and D. M. Fisher. An extended self-organizing map network for market segmentation - a telecommunication example. Decision Support Systems, 42:36-47, 2006.
    • (2006) Decision Support Systems , vol.42 , pp. 36-47
    • Kiang, M.Y.1    Hu, M.Y.2    Fisher, D.M.3
  • 17
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    • Discriminative clustering: Optimal contingency tables by learning metrics
    • J. Sinkkonen, S. Kaski, and J. Nikkilä. Discriminative clustering: Optimal contingency tables by learning metrics. Machine Learning: ECML 2002, pages 109-137, 2002.
    • (2002) Machine Learning: ECML 2002 , pp. 109-137
    • Sinkkonen, J.1    Kaski, S.2    Nikkilä, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.