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Journal of Computational and Graphical Statistics Volume 23, 2014 - Issue 2
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Original Articles

Estimating the Number of Clusters via the GUD Statistic

Jiyao Kou
Pages 403-417 | Received 01 Sep 2012, Published online: 28 Apr 2014

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Matthew J. Heaton, William F. Christensen & Maria A. Terres. (2017) Nonstationary Gaussian Process Models Using Spatial Hierarchical Clustering from Finite Differences. Technometrics 59:1, pages 93-101.
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Articles from other publishers (5)

Mordechai Roth, Amichai Painsky & Tamir Bendory. (2023) Detecting Non-Overlapping Signals with Dynamic Programming. Entropy 25:2, pages 250.
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Wilson Calmon & Mariana Albi. (2021) Estimating the number of clusters in a ranking data context. Information Sciences 546, pages 977-995.
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Lian Beijers, Klaas J. Wardenaar, Hanna M. van Loo & Robert A. Schoevers. (2019) Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping. Molecular Psychiatry 24:6, pages 888-900.
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Ery Arias-Castro & Xiao Pu. (2017) A simple approach to sparse clustering. Computational Statistics & Data Analysis 105, pages 217-228.
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Celestino Ordóñez, Ramón Argüelles, Enoc Sanz-Ablanedo & Javier Roca-Pardiñas. (2016) Deformation analysis in tunnels through curve clustering. Applied Mathematical Modelling 40:2, pages 1325-1332.
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