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When facing clustering problems for hesitant fuzzy information, we normally solve them on sample space by using a certain hesitant fuzzy clustering algorithm, which is usually time-consuming or generates inaccurate clustering results. To overcome the issue, we propose a novel hesitant fuzzy clustering algorithm called hesitant fuzzy kernel C-means clustering (HFKCM) by means of kernel functions, which...
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