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Volumn 5629 LNCS, Issue , 2009, Pages 209-218

Analysis of parliamentary election results and socio-economic situation using self-organizing map

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY METHODS; FINLAND; NUMERICAL DATA; PARLIAMENTARY ELECTIONS; POLITICAL SCIENCE; QUALITATIVE APPROACH; SELFORGANIZING MAP; SOCIO-ECONOMICS; STATISTICAL ANALYSIS;

EID: 69049086739     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02397-2_24     Document Type: Conference Paper
Times cited : (7)

References (16)
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  • 7
    • 0001863796 scopus 로고    scopus 로고
    • Exploratory data analysis by the self-organizing map: Structures of welfare and poverty in the world
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    • (1996) Neural Networks in Financial Engineering , pp. 498-507
    • Kaski, S.1    Kohonen, T.2
  • 8
    • 69049089568 scopus 로고    scopus 로고
    • Tyottomyys (Unemployment)
    • Andreasson, K, Helin, V, eds, Statistics Finland, Helsinki
    • Keinánen, P.: Tyottomyys (Unemployment). In: Andreasson, K., Helin, V. (eds.) Suomen vuosisata, pp. 74-79. Statistics Finland, Helsinki (1999)
    • (1999) Suomen vuosisata , pp. 74-79
    • Keinánen, P.1
  • 9
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    • Kohonen, T.: Self-organized formation of topologically correct feature maps. Biological Cybernetics 43, 59-69 (1982)
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 12
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    • Industry Specific Cycles and Companies Financial Performance - Comparison with Self-Organizing Maps
    • Lánsiluoto, A., Eklund, T., Back, B., Vanharanta, H., Visa, A.: Industry Specific Cycles and Companies Financial Performance - Comparison with Self-Organizing Maps. Benchmarking. An International Journal 11(4), 267-286 (2004)
    • (2004) Benchmarking. An International Journal , vol.11 , Issue.4 , pp. 267-286
    • Lánsiluoto, A.1    Eklund, T.2    Back, B.3    Vanharanta, H.4    Visa, A.5
  • 13
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    • Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis
    • Lee, J.A., Lendasse, A., Verleysen, M.: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57, 49-76 (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.