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An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation.

, , and . Appl. Soft Comput., (2016)

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A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image., , , and . Multim. Tools Appl., 78 (10): 12663-12687 (2019)Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention., , and . CoRR, (2020)Improved fuzzy entropy clustering algorithm for MRI brain image segmentation., , and . Int. J. Imaging Syst. Technol., 24 (4): 277-283 (2014)Temporal deep learning architecture for prediction of COVID-19 cases in India., , and . Expert Syst. Appl., (2022)An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation., , and . Appl. Soft Comput., (2016)Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm., and . IICAI, page 1060-1069. IICAI, (2011)Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image., and . SocProS (2), volume 131 of Advances in Intelligent and Soft Computing, page 133-144. Springer, (2011)Recognition of multi-cognitive tasks from EEG signals using EMD methods., , , , , , and . Neural Comput. Appl., 35 (31): 22989-23006 (November 2023)Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India., , and . CoRR, (2021)A population based hybrid FCM-PSO algorithm for clustering analysis and segmentation of brain image., , and . Expert Syst. Appl., (2021)