Fuzzy C-means Algorithm Based on Pretreatment of Similarity Relationtp
نویسندگان
چکیده
In order to make up some deficiencies of the fuzzy c-means clustering algorithm, a new FCM algorithm based on pretreatment of similarity relation between samples is proposed in the paper, which is utilized to estimate the fuzzy clustering centers and the weight coefficient of samples effecting on the fuzzy clustering centers during iteration process. The new FCM algorithm makes the clustering quicker and more accurate. Finally, a simulation experiment is given in the paper to demonstrate the new FCM algorithm can avoid the limitations of the traditional FCM algorithm and the improvement is very effective.
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