Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04169-y
Abstract: Fuzzy entropy clustering (FEC) is a variant of hard c-means clustering which utilizes the concept of entropy. However, the performance of the FEC method is sensitive to the noise and the fuzzy entropy parameter as… read more here.
Keywords: entropy clustering; kernel intuitionistic; intuitionistic fuzzy; fuzzy entropy ... See more keywords
Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2973121
Abstract: Multiobjective evolutionary algorithms (MOEAs) are effective optimization methods. To improve the segmentation performance and time efficiency of MOEAs-based fuzzy clustering algorithms for color images, a semisupervised surrogate-assisted multiobjective kernel intuitionistic fuzzy clustering (S3MKIFC) algorithm is… read more here.
Keywords: kernel intuitionistic; fuzzy clustering; intuitionistic fuzzy; color ... See more keywords