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Determining the Number of Clusters Using the Weighted Gap Statistic

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  • Mingjin Yan
  • Keying Ye

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  • Mingjin Yan & Keying Ye, 2007. "Determining the Number of Clusters Using the Weighted Gap Statistic," Biometrics, The International Biometric Society, vol. 63(4), pages 1031-1037, December.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:4:p:1031-1037
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00784.x
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    References listed on IDEAS

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    1. Sugar, Catherine A. & James, Gareth M., 2003. "Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 750-763, January.
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    1. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    2. Véronique Cariou & Stéphane Verdun & Emmanuelle Diaz & El Qannari & Evelyne Vigneau, 2009. "Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 3(3), pages 227-241, December.
    3. Balkissoon, Sarah & Fox, Neil & Lupo, Anthony & Haupt, Sue Ellen & Penny, Stephen G., 2023. "Classification of tall tower meteorological variables and forecasting wind speeds in Columbia, Missouri," Renewable Energy, Elsevier, vol. 217(C).
    4. Z. Aytan Ediz & M. Atilla Öner & Y. Can Erdem & Nesimi Kaplan, 2018. "A Model for Make-or-Buy Decisions in Engineering Design Services Sector: A Case Study from Turkey," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-27, August.
    5. Li, Pai-Ling & Chiou, Jeng-Min, 2011. "Identifying cluster number for subspace projected functional data clustering," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2090-2103, June.
    6. Advait Sarkar & Neal Lathia & Cecilia Mascolo, 2015. "Comparing cities’ cycling patterns using online shared bicycle maps," Transportation, Springer, vol. 42(4), pages 541-559, July.
    7. Deb, Soudeep & Karmakar, Sayar, 2023. "A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States," Computational Statistics & Data Analysis, Elsevier, vol. 188(C).
    8. Nilsen Gro & Borgan Ørnulf & LiestØl Knut & Lingjærde Ole Christian, 2013. "Identifying clusters in genomics data by recursive partitioning," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(5), pages 637-652, October.

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