A Kemeny distance-based robust fuzzy clustering for preference data

DOI10.1007/s00357-022-09420-0OpenAlexW4302763346MaRDI QIDQ2680188

Pierpaolo D'Urso, Vincenzina Vitale

Publication date: 30 January 2023

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-022-09420-0

zbMATH Keywords

fuzzy clusteringKemeny distancepreference datarobust method

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• PerMallows
• Rankcluster

Cites Work

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• A generative model for rank data based on insertion sort algorithm
• A proposal for robust curve clustering
• Mixtures of weighted distance-based models for ranking data with applications in political studies
• A fuzzy extension of the silhouette width criterion for cluster analysis
• A general trimming approach to robust cluster analysis
• Mixtures of distance-based models for ranking data
• Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization
• Probability models on rankings
• Numerical taxonomy with fuzzy sets
• Gaussian clustering method based on maximum-fuzzy-entropy interpretation
• Robust fuzzy clustering of multivariate time trajectories
• Bayesian Plackett-Luce mixture models for partially ranked data
• Alternative c-means clustering algorithms
• Adjusted concordance index: an extensionl of the adjusted rand index to fuzzy partitions
• Abstraction and pattern classification
• Model-based clustering for multivariate partial ranking data
• Fuzzy clusterwise generalized structured component analysis
• Numerical methods for fuzzy clustering
• Cluster Analysis: An Application of Lagrangian Relaxation
• NON-NULL RANKING MODELS. I
• A new rank correlation coefficient with application to the consensus ranking problem
• Dissimilarity measure for ranking data via mixture of copulae*
• Using clustering of rankings to explain brand preferences with personality and socio-demographic variables
• Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences
• Integer Programming and the Theory of Grouping
• Fuzzy sets
• A new approach to clustering
• Cluster Analysis and Mathematical Programming
• Multistage Ranking Models
• A NEW MEASURE OF RANK CORRELATION
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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