Ultrametric hierarchical clustering algorithms
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DOI: 10.1007/BF02294699
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Cited by:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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