A Knowledge Context Fuzzy Clustering Method Based on Genetic Algorithm

Abstract

A fuzzy clustering method based on genetic algorithm is proposed aiming at the problem of automatic clustering of knowledge context. Firstly, the knowledge context model is constructed to determine the similarity measure of knowledge context. Then the initial clustering centers are obtained based on the density peak method. Then the fuzzy C mean clustering result is solved by genetic algorithm, and the clustering of knowledge context is realized. Finally, the knowledge context clustering of an aircraft part design process is taken as an example to illustrate the effectiveness of the algorithm.