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Volumn 24, Issue 3, 2007, Pages 171-187

Decision-making method using a visual approach for cluster analysis problems; Indicative classification algorithms and grouping scope

Author keywords

Cluster analysis; Decision support system; Visualization techniques

Indexed keywords

ALGORITHMS; CLUSTER ANALYSIS; DECISION MAKING; DECISION SUPPORT SYSTEMS; VISUALIZATION;

EID: 34250209181     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/j.1468-0394.2007.00428.x     Document Type: Article
Times cited : (41)

References (10)
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    • Boudjeloud, L.1    Poulet, F.2
  • 4
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    • Data mining by means of binary representation: A model for similarity and clustering
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  • 5
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    • The use of multiple measurements in taxonomic problems
    • Fisher, R.A. (1936) The use of multiple measurements in taxonomic problems, Annual Eugenics, 7, 179 188.
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    • Fisher, R.A.1
  • 8
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    • Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes
    • Shapira, B., P. Shoval U. Hanani (1999) Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes, Decision Support Systems, 27, 5 24.
    • (1999) Decision Support Systems , vol.27 , pp. 5-24
    • Shapira, B.1    Shoval, P.2    Hanani, U.3
  • 9
    • 0141498446 scopus 로고    scopus 로고
    • Algorithmic approaches to clustering gene expression data
    • in. T. Jiang, T. Smith, Y. Xu. M.Q. Zhang. (eds), Boston, MA: MIT Press
    • Sharan, R. R. Shamir (2002) Algorithmic approaches to clustering gene expression data, in Current Topics in Computational Molecular Biology, T. Jiang, T. Smith, Y. Xu M.Q. Zhang (eds), Boston, MA : MIT Press, 269 300.
    • (2002) Current Topics in Computational Molecular Biology , pp. 269-300
    • Sharan, R.1    Shamir, R.2
  • 10
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    • Modeling cognitive development on balance scale phenomena
    • Shultz, T., D. Mareschal W. Schmidt (1994) Modeling cognitive development on balance scale phenomena, Machine Learning, 16, 59 88.
    • (1994) Machine Learning , vol.16 , pp. 59-88
    • Shultz, T.1    Mareschal, D.2    Schmidt, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.