Quantum-inspired ant lion-optimized hybrid fuzzy c-means method for fuzzy clustering and image segmentation

DOI10.1007/s00500-021-06391-zzbMath1498.94010OpenAlexW3210255627MaRDI QIDQ2100502

Junwen Chen, Guihua Cheng, Xue-mei Qi, Fu-long Chen

Publication date: 22 November 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-021-06391-z

zbMATH Keywords

fuzzy clusteringimage segmentationfuzzy c-meansquantum-inspired ant lion optimizer

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Uses Software

• UCI-ml
• BrainWeb
• ALO

Cites Work

• Quantum mechanical Hamiltonian models of Turing machines
• Evolution strategies. A comprehensive introduction
• Quantum-like mutation-induced dragonfly-inspired optimization approach
• The Planar k-Means Problem is NP-Hard
• A Robust Fuzzy Local Information C-Means Clustering Algorithm
• Cluster Validity with Fuzzy Sets
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