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Ultrametric hierarchical clustering algorithms

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  • Glenn Milligan

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Suggested Citation

  • Glenn Milligan, 1979. "Ultrametric hierarchical clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 44(3), pages 343-346, September.
  • Handle: RePEc:spr:psycho:v:44:y:1979:i:3:p:343-346
    DOI: 10.1007/BF02294699
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    Citations

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    Cited by:

    1. Werner Vach & Paul Degens, 1991. "A new approach to isotonic agglomerative hierarchical clustering," Journal of Classification, Springer;The Classification Society, vol. 8(2), pages 217-237, December.
    2. Trudie Strauss & Michael Johan von Maltitz, 2017. "Generalising Ward’s Method for Use with Manhattan Distances," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-21, January.
    3. Cena, Anna & Gagolewski, Marek & Mesiar, Radko, 2015. "Problems and challenges of information resources producers’ clustering," Journal of Informetrics, Elsevier, vol. 9(2), pages 273-284.
    4. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 325-342, September.
    5. Nicolaou, A. & Bhattacharya, S., 2008. "Sustainability of ERPS performance outcomes: The role of post-implementation review quality," International Journal of Accounting Information Systems, Elsevier, vol. 9(1), pages 43-60.
    6. Gheorghe H. Popescu & Violeta Sima & Elvira Nica & Ileana Georgiana Gheorghe, 2017. "Measuring Sustainable Competitiveness in Contemporary Economies—Insights from European Economy," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    7. William Day & Herbert Edelsbrunner, 1985. "Investigation of proportional link linkage clustering methods," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 239-254, December.
    8. Glenn Milligan, 1989. "A validation study of a variable weighting algorithm for cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 6(1), pages 53-71, December.

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