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

DOI10.1080/02664763.2015.1125864OpenAlexW2299122692MaRDI QIDQ5138136

Marica Manisera, Eugenio Brentari, Livia Dancelli

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1125864

zbMATH Keywords

hierarchical cluster analysisbipolar meanmatching-type measuremean deviation about the bipolar meanweighted rank-based correlation coefficient

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25) Individual preferences (91B08)

Related Items (3)

Using clustering of rankings to explain brand preferences with personality and socio-demographic variables ⋮ Median constrained bucket order rank aggregation ⋮ A Kemeny distance-based robust fuzzy clustering for preference data

Uses Software

• R
• cluster (R)
• FactoMineR

Cites Work

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• Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data
• A new partitioning around medoids algorithm
• Exploratory Multivariate Analysis by Example Using R
• Some distance properties of latent root and vector methods used in multivariate analysis

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