Fuzzy clustering of distributional data with automatic weighting of variable components

DOI10.1016/j.ins.2017.04.040zbMath1429.62249OpenAlexW2607931573MaRDI QIDQ2293261

Francisco de. A. T. de Carvalho, Antonio Irpino, Rosanna Verde

Publication date: 7 February 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2017.04.040

zbMATH Keywords

fuzzy clusteringWasserstein distanceadaptive distancesdistribution-valued datarelevance weights

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Related Items (5)

Batch self-organizing maps for distributional data with an automatic weighting of variables and components ⋮ Co-clustering algorithms for distributional data with automated variable weighting ⋮ Fuzzy data analysis and classification. Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic ⋮ M-LDQ feature embedding and regression modeling for distribution-valued data ⋮ Robust synchronization of chaotic systems with novel fuzzy rule-based controllers

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