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Hierarchical Clustering via Joint Between-Within Distances: Extending Ward's Minimum Variance Method

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  1. Jong-Min Kim & Ning Wang & Yumin Liu, 2020. "Multi-Stage Change Point Detection with Copula Conditional Distribution with PCA and Functional PCA," Mathematics, MDPI, vol. 8(10), pages 1-23, October.
  2. Ozan Cinar & Ozlem Ilk & Cem Iyigun, 2018. "Clustering of short time-course gene expression data with dissimilar replicates," Annals of Operations Research, Springer, vol. 263(1), pages 405-428, April.
  3. Athanasios Constantopoulos & John Yfantopoulos & Panos Xenos & Athanassios Vozikis, 2019. "Cluster shifts based on healthcare factors: The case of Greece in an OECD background 2009-2014," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(6), pages 1-4.
  4. Mantas Svazas & Valentinas Navickas & Yuriy Bilan & Joanna Nakonieczny & Jana Spankova, 2021. "Biomass Clusterization from a Regional Perspective: The Case of Lithuania," Energies, MDPI, vol. 14(21), pages 1-15, October.
  5. Li, Yuzhao & Liu, Yong & Zhao, Lei & Hastings, Alan & Guo, Huaicheng, 2015. "Exploring change of internal nutrients cycling in a shallow lake: A dynamic nutrient driven phytoplankton model," Ecological Modelling, Elsevier, vol. 313(C), pages 137-148.
  6. Jiang, Qing & Hušková, Marie & Meintanis, Simos G. & Zhu, Lixing, 2019. "Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data," Journal of Multivariate Analysis, Elsevier, vol. 170(C), pages 202-220.
  7. Lee, Sangyeol & Meintanis, Simos G. & Pretorius, Charl, 2022. "Monitoring procedures for strict stationarity based on the multivariate characteristic function," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
  8. Brault, Vincent & Ouadah, Sarah & Sansonnet, Laure & Lévy-Leduc, Céline, 2018. "Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 143-165.
  9. Marco Cruz-Sandoval & José Carlos Vázquez-Parra & Patricia Esther Alonso-Galicia & Martina Carlos-Arroyo, 2023. "Perceived Achievement of Social Entrepreneurship Competency: The Influence of Age, Discipline, and Gender among Women in Higher Education," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
  10. Jia Zhu & Xingcheng Wu & Xueqin Lin & Changqin Huang & Gabriel Pui Cheong Fung & Yong Tang, 2018. "A novel multiple layers name disambiguation framework for digital libraries using dynamic clustering," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 781-794, March.
  11. Zdeňka Náglová & Tereza Horáková, 2017. "Position of the Bakery Enterprises in the Czech Republic According to Detailed Specification of the Businesses," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1719-1727.
  12. Alberto Fernández & Sergio Gómez, 2008. "Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms," Journal of Classification, Springer;The Classification Society, vol. 25(1), pages 43-65, June.
  13. Tsai, Cary Chi-Liang & Cheng, Echo Sihan, 2021. "Incorporating statistical clustering methods into mortality models to improve forecasting performances," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 42-62.
  14. Elmar Plischke & Emanuele Borgonovo, 2020. "Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2639-2660, December.
  15. James, Nick & Menzies, Max & Chok, James & Milner, Aaron & Milner, Cas, 2023. "Geometric persistence and distributional trends in worldwide terrorism," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
  16. Berrada, Jaâfar & Mouhoubi, Ilyes & Christoforou, Zoi, 2020. "Factors of successful implementation and diffusion of services based on autonomous vehicles: users’ acceptance and operators’ profitability," Research in Transportation Economics, Elsevier, vol. 83(C).
  17. Pavel I. Blus & Rustam V. Plotnikov, 2022. "Spatial clustering for reducing intraregional unevenness," Journal of New Economy, Ural State University of Economics, vol. 23(1), pages 88-108, April.
  18. Manavi, Seyed Alireza & Jafari, Gholamreza & Rouhani, Shahin & Ausloos, Marcel, 2020. "Demythifying the belief in cryptocurrencies decentralized aspects. A study of cryptocurrencies time cross-correlations with common currencies, commodities and financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
  19. von Borries, George & Wang, Haiyan, 2009. "Partition clustering of high dimensional low sample size data based on p-values," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 3987-3998, October.
  20. Tarik Bahraoui & Jean‐François Quessy, 2022. "Tests of multivariate copula exchangeability based on Lévy measures," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1215-1243, September.
  21. B. Cooper Boniece & Lajos Horv'ath & Lorenzo Trapani, 2023. "On changepoint detection in functional data using empirical energy distance," Papers 2310.04853, arXiv.org.
  22. Changhyeon Song & Kwangsoo Shin, 2019. "Business Model Design for Latecomers in Biopharmaceutical Industry: The Case of Korean Firms," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
  23. Xin Dang & Dao Nguyen & Yixin Chen & Junying Zhang, 2021. "A new Gini correlation between quantitative and qualitative variables," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(4), pages 1314-1343, December.
  24. Zhenhua Hu & Shanshan Jin & Ziyue Hu & Degen Lin, 2022. "Research on Attention Allocation of Land Policy System Reform: A Comparative Analysis Based on Central No. 1 Documents of China," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
  25. Moon, Seongmin & Hicks, Christian & Simpson, Andrew, 2012. "The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy—A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 794-802.
  26. Cencheng Shen & Joshua T. Vogelstein, 2021. "The exact equivalence of distance and kernel methods in hypothesis testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(3), pages 385-403, September.
  27. Yuji Nozaki & Takamichi Nakamoto, 2018. "Predictive modeling for odor character of a chemical using machine learning combined with natural language processing," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
  28. Trudie Strauss & Michael Johan von Maltitz, 2017. "Generalising Ward’s Method for Use with Manhattan Distances," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-21, January.
  29. Marie Hušková & Simos G. Meintanis & Charl Pretorius, 2022. "Tests for heteroskedasticity in transformation models," Statistical Papers, Springer, vol. 63(4), pages 1013-1049, August.
  30. Maurice Roux, 2018. "A Comparative Study of Divisive and Agglomerative Hierarchical Clustering Algorithms," Journal of Classification, Springer;The Classification Society, vol. 35(2), pages 345-366, July.
  31. Deepu Krishnan & Scott Kelly & Yohan Kim, 2022. "A Meta-Analysis Review of Occupant Behaviour Models for Assessing Demand-Side Energy Consumption," Energies, MDPI, vol. 15(3), pages 1-23, February.
  32. Marta Kuc, 2012. "The Use Of Taxonomy Methods For Clustering European Union Countries Due To The Standard Of Living," Oeconomia Copernicana, Institute of Economic Research, vol. 3(2), pages 5-23, June.
  33. Simos G. Meintanis & Joseph Ngatchou-Wandji & James Allison, 2018. "Testing for serial independence in vector autoregressive models," Statistical Papers, Springer, vol. 59(4), pages 1379-1410, December.
  34. Zhu, Wenjun & Wang, Chou-Wen & Tan, Ken Seng, 2016. "Structure and estimation of Lévy subordinated hierarchical Archimedean copulas (LSHAC): Theory and empirical tests," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 20-36.
  35. Linde, Jona & Sonnemans, Joep & Tuinstra, Jan, 2014. "Strategies and evolution in the minority game: A multi-round strategy experiment," Games and Economic Behavior, Elsevier, vol. 86(C), pages 77-95.
  36. Wang, Zhuo & Shang, Pengjian, 2023. "Generalized distance component method based on spatial amplitude and trend difference weighting operator for complex time series," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
  37. Renato Amorim, 2015. "Feature Relevance in Ward’s Hierarchical Clustering Using the L p Norm," Journal of Classification, Springer;The Classification Society, vol. 32(1), pages 46-62, April.
  38. Lovato, Ilenia & Pini, Alessia & Stamm, Aymeric & Vantini, Simone, 2020. "Model-free two-sample test for network-valued data," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
  39. Quessy, Jean-François, 2021. "A Szekely–Rizzo inequality for testing general copula homogeneity hypotheses," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
  40. repec:pen:papers:14-011 is not listed on IDEAS
  41. Zhang, Jiawei & Liu, Miaomiao & Bi, Jun, 2022. "Urban greenhouse gas emission peaking paths and embedded health co-benefits: A multicases comparison study in China," Applied Energy, Elsevier, vol. 311(C).
  42. Fulgence, Samuel & Kwabi, Frank & Boateng, Agyenim & Hu, Wansu & Paudyal, Krishna, 2023. "Cross-country analysis of the effects of political uncertainty on stock price informativeness," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
  43. Rizzo, Maria L. & Haman, John T., 2016. "Expected distances and goodness-of-fit for the asymmetric Laplace distribution," Statistics & Probability Letters, Elsevier, vol. 117(C), pages 158-164.
  44. Carmen C. Rodríguez-Martínez & Mitzi Cubilla-Montilla & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2023. "X-STATIS: A Multivariate Approach to Characterize the Evolution of E-Participation, from a Global Perspective," Mathematics, MDPI, vol. 11(6), pages 1-15, March.
  45. Zhang, Wei & Gao, Wei & Ng, Hon Keung Tony, 2023. "Multivariate tests of independence based on a new class of measures of independence in Reproducing Kernel Hilbert Space," Journal of Multivariate Analysis, Elsevier, vol. 195(C).
  46. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
  47. J. S. Allison & M. Hušková & S. G. Meintanis, 2018. "Testing the adequacy of semiparametric transformation models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 70-94, March.
  48. Ritu Arora, 2023. "Intellectual Structure of Parenting Style Research: A Bibliometric Analysis," SAGE Open, , vol. 13(2), pages 21582440231, April.
  49. Alan Lee & Bobby Willcox, 2014. "Minkowski Generalizations of Ward’s Method in Hierarchical Clustering," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 194-218, July.
  50. Jacek Brożyna & Grzegorz Mentel & Eva Ivanová & Gennadii Sorokin, 2019. "Classification of Renewable Sources of Electricity in the Context of Sustainable Development of the New EU Member States," Energies, MDPI, vol. 12(12), pages 1-22, June.
  51. Chen, Feifei & Meintanis, Simos G. & Zhu, Lixing, 2019. "On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 125-144.
  52. Han Lin Shang & Ruofan Xu, 2022. "Change point detection for COVID-19 excess deaths in Belgium," Journal of Population Research, Springer, vol. 39(4), pages 557-565, December.
  53. Dueck, Johannes & Edelmann, Dominic & Richards, Donald, 2015. "A generalization of an integral arising in the theory of distance correlation," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 116-119.
  54. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
  55. Nathanaël Randriamihamison & Nathalie Vialaneix & Pierre Neuvial, 2021. "Applicability and Interpretability of Ward’s Hierarchical Agglomerative Clustering With or Without Contiguity Constraints," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 363-389, July.
  56. Ritchie, David & Van Hal, Guido & Van den Broucke, Stephan, 2020. "How is informed decision-making about breast cancer screening addressed in Europe? An international survey of 28 countries," Health Policy, Elsevier, vol. 124(9), pages 1017-1031.
  57. Westermann, Paul & Deb, Chirag & Schlueter, Arno & Evins, Ralph, 2020. "Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data," Applied Energy, Elsevier, vol. 264(C).
  58. Zdeněk Hlávka & Marie Hušková & Simos G. Meintanis, 2020. "Change-point methods for multivariate time-series: paired vectorial observations," Statistical Papers, Springer, vol. 61(4), pages 1351-1383, August.
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