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- W2360679332 abstract "An objective function of fuzzy clustering is constructed for sample clustering with multidimensional properties.It establishes the curve model of exponential function to guide the evolutionary algorithm convergence,and gives the calculated method of model parameters.An algorithm of evolutionary fuzzy clustering(EFC) with global mutation operator and local mutation operator is designed,which local mutation operator can achieve directional mutation according to the trend of fitness and component value of individual before and after global mutation.And then,it gives the strategy of population evolution of EFC.The experiments have been done for text classification and points clustering in Matlab,the results show that the EFC has good local search capabilities,its convergence speed and accuracy of solution guided by the valid function is better than the compared algorithms,such as algorithm of genetic fuzzy C-means clustering,etc." @default.
- W2360679332 created "2016-06-24" @default.
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- W2360679332 date "2011-01-01" @default.
- W2360679332 modified "2023-09-26" @default.
- W2360679332 title "Evolutionary fuzzy clustering algorithm dominated by guided function" @default.
- W2360679332 hasPublicationYear "2011" @default.
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