Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode

DOI10.1007/s10700-020-09344-7OpenAlexW3092588200MaRDI QIDQ2052933

Hong-Yu Zhou, Zhi-Gang Su, Yong-Sheng Hao

Publication date: 29 November 2021

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-020-09344-7

zbMATH Keywords

evolutionary computationbelief functionssoft clusteringartificial bee colonyevidential clustering

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Artificial intelligence (68Txx) Physiological, cellular and medical topics (92Cxx)

Uses Software

• UCI-ml
• CECM
• ABC

Cites Work

• Unnamed Item
• CECM: constrained evidential \(C\)-means algorithm
• Extended fuzzy C-means and genetic algorithms to optimize power flow management in hybrid electric vehicles
• ECM: An evidential version of the fuzzy \(c\)-means algorithm
• Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions

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