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How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification

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Cited by:

  1. Jack Blundell, 2020. "Clusters in UK Self-Employment," CEP Occasional Papers 048, Centre for Economic Performance, LSE.
  2. Andrea Cerasa, 2016. "Combining homogeneous groups of preclassified observations with application to international trade," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(3), pages 229-259, August.
  3. Roberto Mari & Roberto Rocci & Stefano Antonio Gattone, 2020. "Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 49-78, March.
  4. Brittney Goodrich & Jisang Yu & Monte Vandeveer, 2020. "Participation patterns of the rainfall index insurance for pasture, rangeland and forage programme," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 29-51, January.
  5. Goodrich, Brittney K. & Goodhue, Rachael E., 2020. "Are All Colonies Created Equal? The Role of Honey Bee Colony Strength in Almond Pollination Contracts," Ecological Economics, Elsevier, vol. 177(C).
  6. Fernández, D. & Arnold, R. & Pledger, S., 2016. "Mixture-based clustering for the ordered stereotype model," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 46-75.
  7. Natalia Zdanowska, 2023. "Socio-spatial Inequalities in a Context of "Great Economic Wealth". Case study of neighbourhoods of Luxembourg City," Papers 2307.09251, arXiv.org.
  8. Morgan, Grant B. & Hodge, Kari J. & Baggett, Aaron R., 2016. "Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 146-161.
  9. Rabea Aschenbruck & Gero Szepannek & Adalbert F. X. Wilhelm, 2023. "Imputation Strategies for Clustering Mixed-Type Data with Missing Values," Journal of Classification, Springer;The Classification Society, vol. 40(1), pages 2-24, April.
  10. Marcel Raab & Anette Fasang & Aleksi Karhula & Jani Erola, 2014. "Sibling Similarity in Family Formation," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2127-2154, December.
  11. Salvatore Ingrassia & Antonio Punzo & Giorgio Vittadini & Simona Minotti, 2015. "Erratum to: The Generalized Linear Mixed Cluster-Weighted Model," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 327-355, July.
  12. Andrew Gelman & Christian Hennig, 2017. "Beyond subjective and objective in statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 967-1033, October.
  13. Abby Flynt & Nema Dean, 2016. "A Survey of Popular R Packages for Cluster Analysis," Journal of Educational and Behavioral Statistics, , vol. 41(2), pages 205-225, April.
  14. Utkarsh J. Dang & Antonio Punzo & Paul D. McNicholas & Salvatore Ingrassia & Ryan P. Browne, 2017. "Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models," Journal of Classification, Springer;The Classification Society, vol. 34(1), pages 4-34, April.
  15. Clara Dugord & Carine Franc, 2022. "Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort," Post-Print hal-04385507, HAL.
  16. Bettina Grün & Sara Dolnicar, 2016. "Response style corrected market segmentation for ordinal data," Marketing Letters, Springer, vol. 27(4), pages 729-741, December.
  17. Layal Christine Lettry, 2023. "Clustering the Swiss Pension Register," FSES Working Papers 529, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
  18. Nivorozhkin, Anton & Promberger, Markus, 2020. "Employment Subsidies for Long-Term Welfare Benefits Recipients: Reconciling Programmes Goals with Needs of Diverging Population Groups," IAB-Discussion Paper 202027, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  19. Dugord, Clara & Franc, Carine, 2022. "Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort," Social Science & Medicine, Elsevier, vol. 294(C).
  20. Jack Blundell, 2020. "Clusters in UK Self-Employment," CEP Occasional Papers 48, Centre for Economic Performance, LSE.
  21. Pietro Coretto & Christian Hennig, 2016. "Robust Improper Maximum Likelihood: Tuning, Computation, and a Comparison With Other Methods for Robust Gaussian Clustering," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1648-1659, October.
  22. Sophia Terwiel & John F Rauthmann & Maike Luhmann, 2020. "Using the situational characteristics of the DIAMONDS taxonomy to distinguish sports to more precisely investigate their relation with psychologically relevant variables," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
  23. Lauren Eyler & Alan Hubbard & Catherine Juillard, 2019. "Optimization and validation of the EconomicClusters model for facilitating global health disparities research: Examples from Cameroon and Ghana," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-22, May.
  24. Salvatore Ingrassia & Antonio Punzo & Giorgio Vittadini & Simona Minotti, 2015. "The Generalized Linear Mixed Cluster-Weighted Model," Journal of Classification, Springer;The Classification Society, vol. 32(1), pages 85-113, April.
  25. Elvira Pelle & Roberta Pappadà, 2021. "A clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1507-1533, December.
  26. Balabdaoui, Fadoua & Butucea, Cristina, 2014. "On location mixtures with Pólya frequency components," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 144-149.
  27. Stavros Athanasiadis, 2023. "European Insurance Market Analysis via a Joint Functional Clustering Method," Economics Working Papers 2023-06, University of South Bohemia in Ceske Budejovice, Faculty of Economics.
  28. Jean-Patrick Baudry & Margarida Cardoso & Gilles Celeux & Maria Amorim & Ana Ferreira, 2015. "Enhancing the selection of a model-based clustering with external categorical 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. 9(2), pages 177-196, June.
  29. Bettina Grün & Gertraud Malsiner-Walli & Sylvia Frühwirth-Schnatter, 2022. "How many data clusters are in the Galaxy data set?," 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. 16(2), pages 325-349, June.
  30. Pietro Coretto & Michele La Rocca & Giuseppe Storti, 2020. "Improving Many Volatility Forecasts Using Cross-Sectional Volatility Clusters," JRFM, MDPI, vol. 13(4), pages 1-23, March.
  31. Raoofpanah, Iman & Zamudio, César & Groening, Christopher, 2023. "Review reader segmentation based on the heterogeneous impacts of review and reviewer attributes on review helpfulness: A study involving ZIP code data," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
  32. Francesco Dotto & Alessio Farcomeni & Luis Angel García-Escudero & Agustín Mayo-Iscar, 2017. "A fuzzy approach to robust regression clustering," 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. 11(4), pages 691-710, December.
  33. Efthymios Costa & Ioanna Papatsouma & Angelos Markos, 2023. "Benchmarking distance-based partitioning methods for mixed-type data," 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. 17(3), pages 701-724, September.
  34. Madero-Cabib, Ignacio & Fasang, Anette Eva, 2016. "Gendered work-family life courses and financial well-being in retirement," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27, pages 43-60.
  35. Goodrich, Brittney K. & Yu, Jisang, 2018. "Risk Preferences and the Participation Pattern of Rainfall Index Insurance," 2018 Annual Meeting, August 5-7, Washington, D.C. 273879, Agricultural and Applied Economics Association.
  36. Jonathon J. O’Brien & Michael T. Lawson & Devin K. Schweppe & Bahjat F. Qaqish, 2020. "Suboptimal Comparison of Partitions," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 435-461, July.
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