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A method of predicting the number of clusters using Rand's statistic

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  • Chae, Seong S.
  • DuBien, Janice L.
  • Warde, William D.

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  • Chae, Seong S. & DuBien, Janice L. & Warde, William D., 2006. "A method of predicting the number of clusters using Rand's statistic," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3531-3546, August.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:12:p:3531-3546
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    References listed on IDEAS

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    1. DuBien, Janice L. & Warde, William D. & Chae, Seong S., 2004. "Moments of Rand's C statistic in cluster analysis," Statistics & Probability Letters, Elsevier, vol. 69(3), pages 243-252, September.
    2. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
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    Cited by:

    1. J. Fernando Vera & Rodrigo Macías, 2021. "On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 489-513, June.
    2. Alfonso Iodice D’Enza & Francesco Palumbo, 2013. "Iterative factor clustering of binary data," Computational Statistics, Springer, vol. 28(2), pages 789-807, April.
    3. Stefano Tonellato & Andrea Pastore, 2013. "On the comparison of model-based clustering solutions," Working Papers 2013:05, Department of Economics, University of Venice "Ca' Foscari".

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