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A novel clustering approach based on grey possibility functions for multidimensional systems

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Publication:2110152
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DOI10.1016/j.apm.2022.07.013zbMath1505.65006OpenAlexW4285601264WikidataQ113880172 ScholiaQ113880172MaRDI QIDQ2110152

Ying Cai, Ruxuan Li, Junjie Wang, Yaoguo Dang, Yu Feng, Si-Feng Liu

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.07.013

zbMATH Keywords

multidimensional systemsmatrix representationsgrey clustering approachpossibility functions


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Probabilistic models, generic numerical methods in probability and statistics (65C20)


Related Items

Variable stage self-correcting grey clustering model



Cites Work

  • Unnamed Item
  • A model for clustering data from heterogeneous dissimilarities
  • A new multivariable grey prediction model with structure compatibility
  • Cluster analysis of the large natural satellites in the solar system
  • Grey Data Analysis
  • Subassembly identification based on grey clustering
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