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Journal of Applied Statistics Volume 43, 2016 - Issue 11
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Articles

Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferencesFootnote†

Eugenio BrentariDepartment of Economics and Management, University of Brescia, Brescia, Italy
,
Livia DancelliDepartment of Economics and Management, University of Brescia, Brescia, Italy
&
Marica ManiseraDepartment of Economics and Management, University of Brescia, Brescia, ItalyCorrespondence[email protected]
Pages 1959-1976 | Received 14 Jan 2015, Accepted 25 Nov 2015, Published online: 17 Feb 2016

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Daniel Müllensiefen, Christian Hennig & Hedie Howells. (2018) Using clustering of rankings to explain brand preferences with personality and socio-demographic variables. Journal of Applied Statistics 45:6, pages 1009-1029.
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Chengmao Wu & Xue Xiao. (2023) Total-aware suppressed possibilistic c-means clustering. Measurement 219, pages 113183.
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Cristiano N. da Silva, Pedro Felipe Ferreira de Abreu, Jocines D. F. da Silveira & Jose V. dos R. (2022) Estimating the number of gateways through placement strategies in a LoRaWAN network. Estimating the number of gateways through placement strategies in a LoRaWAN network.
Pierpaolo D’Urso & Vincenzina Vitale. (2022) A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data. Journal of Classification 39:3, pages 600-647.
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Innocensia John, Sieglinde Snapp, Alison Nord, Vimbayi Chimonyo, Chiwimbo Gwenambira & Regis Chikowo. (2021) Marginal more than mesic sites benefit from groundnut diversification of maize: Increased yield, protein, stability, and profits. Agriculture, Ecosystems & Environment 320, pages 107585.
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Chinonso Etumnu & Allan W. Gray. (2020) A Clustering Approach to Understanding Farmers’ Success Strategies. Journal of Agricultural and Applied Economics 52:3, pages 335-351.
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Umang Gupta, Vandana Bhattacherjee & Partha Sarathi Bishnu. (2020) Clustering on Ranked Data for Campaign Selection. IEEE Access 8, pages 162421-162431.
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Ritesh Kumar & Partha Sarathi Bishnu. 2020. Advances in Computational Intelligence. Advances in Computational Intelligence 95 103 .
Andrea Bonanomi, Marta Nai Ruscone & Silvia A. Osmetti. (2019) Dissimilarity measure for ranking data via mixture of copulae*. Statistical Analysis and Data Mining: The ASA Data Science Journal 12:5, pages 412-425.
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Antonio D’Ambrosio, Carmela Iorio, Michele Staiano & Roberta Siciliano. (2019) Median constrained bucket order rank aggregation. Computational Statistics 34:2, pages 787-802.
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Andrea Bonanomi, Marta Nai Ruscone & Silvia Angela Osmetti. (2016) Defining subjects distance in hierarchical cluster analysis by copula approach. Quality & Quantity 51:2, pages 859-872.
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