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Loevinger's measures of rule quality for assessing cluster stability

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  • Bertrand, P.
  • Bel Mufti, G.

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  • Bertrand, P. & Bel Mufti, G., 2006. "Loevinger's measures of rule quality for assessing cluster stability," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 992-1015, February.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:4:p:992-1015
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    References listed on IDEAS

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    1. H. Bock, 1985. "On some significance tests in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 77-108, December.
    2. Richard Dubes & Guangzhou Zeng, 1987. "A test for spatial homogeneity in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 4(1), pages 33-56, March.
    3. Gordon, A. D., 1994. "Identifying genuine clusters in a classification," Computational Statistics & Data Analysis, Elsevier, vol. 18(5), pages 561-581, December.
    4. Glenn Milligan & Richard Cheng, 1996. "Measuring the influence of individual data points in a cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 315-335, September.
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    Cited by:

    1. Gallegos, María Teresa & Ritter, Gunter, 2013. "Strong consistency of k-parameters clustering," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 14-31.
    2. Guidi, Lionel & Ibanez, Frédéric & Calcagno, Vincent & Beaugrand, Grégory, 2009. "A new procedure to optimize the selection of groups in a classification tree: Applications for ecological data," Ecological Modelling, Elsevier, vol. 220(4), pages 451-461.
    3. Francesca Martella & Maurizio Vichi, 2012. "Clustering microarray data using model-based double K -means," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 1853-1869, April.

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