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Clustering in the Presence of Scatter

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  • Ranjan Maitra
  • Ivan P. Ramler

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  • Ranjan Maitra & Ivan P. Ramler, 2009. "Clustering in the Presence of Scatter," Biometrics, The International Biometric Society, vol. 65(2), pages 341-352, June.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:2:p:341-352
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01064.x
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    References listed on IDEAS

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    1. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
    2. George C. Tseng & Wing H. Wong, 2005. "Tight Clustering: A Resampling-Based Approach for Identifying Stable and Tight Patterns in Data," Biometrics, The International Biometric Society, vol. 61(1), pages 10-16, March.
    3. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    4. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    5. Jon R. Kettenring, 2006. "The Practice of Cluster Analysis," Journal of Classification, Springer;The Classification Society, vol. 23(1), pages 3-30, June.
    6. J. Hartigan, 1985. "Statistical theory in clustering," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 63-76, December.
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    Cited by:

    1. Schäfer, Martin & Radon, Yvonne & Klein, Thomas & Herrmann, Sabrina & Schwender, Holger & Verveer, Peter J. & Ickstadt, Katja, 2015. "A Bayesian mixture model to quantify parameters of spatial clustering," Computational Statistics & Data Analysis, Elsevier, vol. 92(C), pages 163-176.

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