The following publications are possibly variants of this publication:
- Total Bregman divergence-driven possibilistic fuzzy clustering with kernel metric and local information for grayscale image segmentationChengmao Wu, Xue Zhang. PR, 128:108686, 2022. [doi]
- Intuitionistic fuzzy information-driven total Bregman divergence fuzzy clustering with multiple local information constraints for image segmentationChengmao Wu, Congcong Huang, Jiajia Zhang. vc, 39(1):149-181, 2023. [doi]
- Total Bregman divergence-based fuzzy local information C-means clustering for robust image segmentationChengmao Wu, Xue Zhang. asc, 94:106468, 2020. [doi]
- Local feature driven fuzzy local information C-means clustering with kernel metric for blurred and noisy image segmentationChengmao Wu, Xiao Qi. jrtip, 20(6):116, December 2023. [doi]
- A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentationChengmao Wu, Xue Zhang. ijar, 136:281-305, 2021. [doi]
- A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image SegmentationChengmao Wu, Xue Zhang. tfs, 30(6):1624-1639, 2022. [doi]