Fuzzy \(K\)-means clustering models for triangular fuzzy time trajectories

DOI10.1007/BF02511444zbMath1145.62347MaRDI QIDQ1766952

Pierpaolo D'Urso, Renato Coppi

Publication date: 3 March 2005

Published in: Statistical Methods and Applications (Search for Journal in Brave)

zbMATH Keywords

triangular membership functioncross sectional and/or longitudinal double fuzzy clusteringfuzzy time arrayfuzzy time trajectoryinformational support

Mathematics Subject Classification ID

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

Related Items (14)

Robust fuzzy clustering of multivariate time trajectories ⋮ FUZZY C-MEANS CLUSTERING MODELS FOR MULTIVARIATE TIME-VARYING DATA: DIFFERENT APPROACHES ⋮ Dense traffic flow patterns mining in bi-directional road networks using density based trajectory clustering ⋮ Fuzzy data analysis and classification. Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic ⋮ A class of fuzzy clusterwise regression models ⋮ Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging ⋮ Weighted least squares and least median squares estimation for the fuzzy linear regression analysis ⋮ Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories ⋮ Three-way fuzzy clustering models for LR fuzzy time trajectories ⋮ Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization ⋮ A weighted fuzzy \(C\)-means clustering model for fuzzy data ⋮ GARCH-based robust clustering of time series ⋮ Robust fuzzy clustering based on quantile autocovariances ⋮ Exponential distance-based fuzzy clustering for interval-valued data

Uses Software

• fda (R)

Cites Work

• Fuzzy least squares
• Ranking alternatives with fuzzy weights using maximizing set and minimizing set
• Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima
• Fuzzy sets
• A theoretical framework for data mining: the ``informational paradigm.
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