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DIVCLUS-T: A monothetic divisive hierarchical clustering method

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  • Chavent, Marie
  • Lechevallier, Yves
  • Briant, Olivier

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  • Chavent, Marie & Lechevallier, Yves & Briant, Olivier, 2007. "DIVCLUS-T: A monothetic divisive hierarchical clustering method," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 687-701, October.
    • Handle: RePEc:eee:csdana:v:52:y:2007:i:2:p:687-701
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    References listed on IDEAS

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    1. Y. Wang & H. Yan & C. Sriskandarajah, 1996. "The weighted sum of split and diameter clustering," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 231-248, September.
    2. Marie Chavent & Yuan Ding & Linghui Fu & Herve Stolowy & Huiwen Wang, 2006. "Disclosure and determinants studies: An extension using the Divisive Clustering Method (DIV)," European Accounting Review, Taylor & Francis Journals, vol. 15(2), pages 181-218.
    3. A. Guénoche & P. Hansen & B. Jaumard, 1991. "Efficient algorithms for divisive hierarchical clustering with the diameter criterion," Journal of Classification, Springer;The Classification Society, vol. 8(1), pages 5-30, January.
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    Cited by:

    1. Wu, Han-Ming & Tien, Yin-Jing & Chen, Chun-houh, 2010. "GAP: A graphical environment for matrix visualization and cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 767-778, March.
    2. Soroosh Shalileh, 2023. "An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach," Mathematics, MDPI, vol. 11(12), pages 1-23, June.
    3. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).
    4. Kim, Jaejik & Billard, L., 2011. "A polythetic clustering process and cluster validity indexes for histogram-valued objects," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2250-2262, July.

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