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Volumn 5, Issue 2, 1988, Pages 163-180

Convergence of the majorization method for multidimensional scaling

Author keywords

Convergence; Local minima; Multidimensional scaling; Step size

Indexed keywords


EID: 0003165345     PISSN: 01764268     EISSN: 14321343     Source Type: Journal    
DOI: 10.1007/BF01897162     Document Type: Article
Times cited : (157)

References (18)
  • 7
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    • A General Nonmetric Technique for Finding the Smallest Coordinate Space for a Configuration of Points
    • (1968) Psychometrika , vol.33 , pp. 469-506
    • Guttman, L.1
  • 9
    • 84934905845 scopus 로고    scopus 로고
    • HEISER, W. J. (1981), Unfolding Analysis of Proximity Data, Unpublished Doctoral Dissertation, University of Leiden.
  • 11
    • 0041654220 scopus 로고
    • Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypotheses
    • (1964) Psychometrika , vol.29 , pp. 1-28
    • Kruskal, J.B.1
  • 15
    • 84934942102 scopus 로고    scopus 로고
    • LINGOES, J. C., and ROSKAM, E. E. (1973), “A Mathematical and Empirical Comparison of Two Multidimensional Scaling Algorithms,”Psychometrika, 38, Monograph Supplement.
  • 18
    • 84934993880 scopus 로고    scopus 로고
    • STOOP, I., and DE LEEUW, J. (1983), The Stepsize in Multidimensional Scaling Algorithms, Paper presented at the Third European Meeting of the Psychometric Society, Jouy-en-Josas, France, July 5–8, 1983.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.