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Volumn 41, Issue 2, 2009, Pages 507-514

TwoMP: A MATLAB graphical user interface for two-mode partitioning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BEHAVIOR; CLUSTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER PROGRAM; EMOTION; HUMAN; INFORMATION PROCESSING; PHYSIOLOGY; STATISTICAL MODEL;

EID: 66149107089     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BRM.41.2.507     Document Type: Article
Times cited : (25)

References (19)
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  • 3
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    • Castillo, W., & Trejos, J. (2002). Two-mode partitioning: Review of methods and application of tabu search. In K. Jajuga, A. Sokolowski, & H.-H. Bock (Eds.), Classification, clustering, and related topics: Recent advances and applications (pp. 43-51). Heidelberg: Springer.
    • (2002) Classification, Clustering, and Related Topics: Recent Advances and Applications , pp. 43-51
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  • 4
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    • Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method
    • Ceulemans, E., & Kiers, H. A. L. (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical & Statistical Psychology, 59, 133-150.
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  • 5
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    • Ceulemans, E.1    van Mechelen, I.2
  • 6
    • 4644342606 scopus 로고    scopus 로고
    • A new algorithm for two-mode clustering
    • In H.-H. Bock & W. Polasek (Eds.), Berlin: Springer
    • Gaul, W., & Schader, M. (1996). A new algorithm for two-mode clustering. In H.-H. Bock & W. Polasek (Eds.), Classification and knowledge organization (pp. 15-23). Berlin: Springer.
    • (1996) Classification and Knowledge Organization , pp. 15-23
    • Gaul, W.1    Schader, M.2
  • 7
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    • Hand, D. J., & Krzanowski, W. J. (2005). Optimising k-means clustering results with standard software packages. Computational Statistics & Data Analysis, 49, 969-973.
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  • 9
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    • Kiers, H. A. L. (2004). Clustering all three modes of three-mode data: Computational possibilities and problems. In J. Antoch (Ed.), COMPSTAT: Proceedings in Computational Statistics (pp. 303-313). Heidelberg: Springer.
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.