As one of the most popular and well-recognized clustering methods, fuzzy C-means (FCM) clustering algorithm is the basis of other fuzzy clustering analysis methods in theory and application respects.However, FCM algorithm is essentially a local search optimization algorithm.Therefore, sometimes, it may fail to find the global optimum.For the purpose of getting over the disadvantages of FCM algorithm, a new version of the krill 9x11 pergola herd (KH) algorithm with elitism strategy, called KHE, is proposed to solve the clustering problem.Elitism tragedy has a strong ability of preventing the krill population from degrading.
In addition, the well-selected parameters are used in the KHE method instead of originating from nature.Through an array of custom congratulations banner simulation experiments, the results show that the KHE is indeed a good choice for solving general benchmark problems and fuzzy clustering analyses.